Monitoring apparatus and monitoring method

Abstract

To provide a technique capable of appropriately monitoring a state of a rotating device.SOLUTION: The monitoring device 200 according to an embodiment of the present disclosure monitors the state of the rotation device 100 based on reference data at the time of non-occurrence of a specific state of a monitoring target (non-occurrence time reference data), which represents the operation state of the rotation device 100 under a predetermined operation condition, and measurement data (initial data), which represents the operation state of the rotation device 100 under a predetermined operation condition and is measured at the time of a test operation or an initial operation in a state where the rotation device 100 is operable.SELECTED DRAWING: Figure 4

Description

[Technical Field]

[0001] The present disclosure relates to a monitoring device and the like. [Background technology]

[0002] BACKGROUND ART Conventionally, techniques for diagnosing the state of a rotating device are known (see Patent Documents 1 and 2). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 7040920 [Patent Document 2] Patent No. 7270773 Summary of the Invention [Problem to be solved by the invention]

[0004] Incidentally, when a rotating device is implemented in an operational state (for example, when it is installed at a site where it will be used and mechanically connected to other devices), its mechanical characteristics may change due to the influence of other mechanically connected devices, the influence of installation conditions, and the like. Therefore, for example, if pre-defined monitoring conditions for monitoring the state of the rotating device are used as is, the state of the rotating device may not be monitored appropriately due to the influence of changes in the mechanical characteristics. Furthermore, for example, it is desirable to understand changes in the mechanical characteristics of the rotating device as the state of the rotating device.

[0005] In view of the above-mentioned problems, an object of the present invention is to provide a technique that can appropriately monitor the state of a rotating device. [Means for solving the problem]

[0006] In order to achieve the above object, in one embodiment of the present disclosure, monitoring a state of the rotating device based on first reference data representing an operating state of the rotating device under predetermined operating conditions and first measurement data representing the operating state of the rotating device under the predetermined operating conditions measured during a trial run or initial operation in an operational state of the rotating device; A monitoring device is provided.

[0007] In another embodiment of the present disclosure, a monitoring device monitors a state of the rotating device based on first reference data representing an operating state of the rotating device under predetermined operating conditions and first measurement data representing the operating state of the rotating device under the predetermined operating conditions measured during a trial run or initial operation in an operational state of the rotating device; A monitoring method is provided. [Effects of the Invention]

[0008] According to the above-described embodiment, the state of the rotating device can be appropriately monitored. [Brief explanation of the drawings]

[0009] [Figure 1] FIG. 1 illustrates a configuration of an example of a monitoring system. [Figure 2] FIG. 1 is a diagram illustrating the structure of an example of a bearing. [Figure 3] FIG. 1 illustrates a configuration of an example of a monitoring device. [Figure 4] FIG. 2 is a functional block diagram showing a first example of the functional configuration of the monitoring device. [Figure 5] FIG. 10 is a diagram illustrating an example of a difference between the normal frequency components of the reference data representing the operating state of the rotating device when a specific state to be monitored does not occur, and the monitoring frequency components of the reference data representing the operating state of the rotating device when the specific state to be monitored does not occur and when it does occur. [Figure 6] 10A and 10B are diagrams illustrating an example of normal frequency components of reference data and initial data representing the operating state of a rotating device. [Figure 7] FIG. 1 is a diagram illustrating an example of frequency characteristics of a transfer function between torque and angular velocity in a rotating device. [Figure 8] 10 is a diagram illustrating an example of frequency characteristics of the amplitude ratio (amplification ratio) of the same frequency component of reference data and initial data representing the operating state of a rotating device, and the reciprocal of the amplitude ratio (correction gain). FIG. [Figure 9] 10 is a flowchart schematically illustrating an example of processing by a reference data acquisition unit. [Figure 10] 10 is a flowchart schematically illustrating an example of processing by an initial data acquisition unit. [Figure 11] 10 is a flowchart illustrating an example of a process performed by a monitoring standard setting unit. [Figure 12] 10 is a flowchart illustrating an example of processing performed by a correction gain calculation unit. [Figure 13] 1A and 1B are diagrams illustrating a first example of a method for monitoring the state of a rotating device. [Figure 14] 10A and 10B are diagrams illustrating a second example of a method for monitoring the state of a rotating device. [Figure 15] 10A and 10B are diagrams illustrating a third example of a method for monitoring the state of a rotating device. [Figure 16] 10A and 10B are diagrams illustrating a fourth example of a method for monitoring the state of a rotating device. [Figure 17] FIG. 10 is a functional block diagram showing a second example of the functional configuration of the monitoring device. [Figure 18] FIG. 10 is a functional block diagram showing a third example of the functional configuration of the monitoring device. [Figure 19] 10A and 10B are diagrams illustrating an example of vibrations occurring in an electric motor due to damage to a bearing and changes in rotation speed. [Figure 20] 10A and 10B are diagrams illustrating specific examples of results of frequency analysis of the rotation speed of a rotating device. [Figure 21] FIG. 2 is a functional block diagram illustrating an example of a functional configuration of a monitoring frequency component extraction unit. [Figure 22] 10 is a flowchart illustrating an example of a process performed by a monitoring frequency component extracting unit. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, an embodiment will be described with reference to the drawings.

[0011] [Monitoring system configuration] The configuration of a monitoring system 1 according to this embodiment will be described with reference to FIGS.

[0012] Fig. 1 is a diagram showing an example of the configuration of a monitoring system 1. Fig. 2 is a diagram showing an example of the structure of a bearing 104x. Fig. 3 is a diagram showing an example of the configuration of a monitoring device 200.

[0013] The monitoring system 1 monitors the state of the rotating device 100 .

[0014] As shown in FIG. 1, the monitoring system 1 includes a rotation device 100 , another device 110 , a measurement device 120 , a monitoring device 200 , and an external device 300 .

[0015] The rotating device 100 has a rotating body, and the rotating body is mechanically coupled to the rotating body of the other device 110, and rotates together with the other device 110. In this example, the rotating device 100 is an electric motor (also referred to as a "rotating machine" or "rotating electric machine") that rotationally drives the other device 110. The electric motor is, for example, an induction motor. Alternatively, the electric motor may be a synchronous motor.

[0016] The rotation device 100 may be configured such that the rotating body is rotated by a power source other than electrical energy (for example, hydraulic pressure). The rotation device 100 may also be configured such that its own rotating body is driven by a rotating body of another device 110. The rotation device 100 may also be configured to rotate independently without being connected to another device 110, in which case the other device 110 is omitted.

[0017] The rotating device 100 as an electric motor includes a rotor 101 as a rotating body arranged at the radial center, a stator 102 arranged radially outside the rotor 101 so as to face the rotor 101, a rotating shaft 103, and a bearing 104.

[0018] The rotating shaft 103 includes a rotating shaft portion 103a at one end in the axial direction of the rotating device 100, which is connected to another device 110, and a rotating shaft portion 103b at the other end on the opposite side.

[0019] The bearings 104 support the rotating shaft 103 on a fixed part (for example, a housing) of the rotating device 100 so that the rotating shaft 103 can rotate. The bearings 104 include a bearing 104a that supports the rotating shaft part 103a and a bearing 104b that supports the rotating shaft part 103b. Hereinafter, any one of the bearings 104a and 104b may be collectively referred to as "bearing 104x."

[0020] As shown in FIG. 2, the bearing 104x includes an outer ring 1041, an inner ring 1042, rolling elements 1043, and a cage 1044.

[0021] In FIG. 2, a deep groove ball bearing is shown as an example of the bearing 104x, but the bearing 104x may be a bearing of another type, such as a tapered roller bearing.

[0022] The other device 110 is driven by the rotation device 100. The other device 110 is, for example, a mechanical facility or production facility in a factory.

[0023] As described above, the other device 110 may have a configuration in which its own rotating body rotates and drives the rotating body of the rotation device 100.

[0024] The measuring device 120 measures a physical quantity that represents the operating state of the rotating device 100, and outputs a measurement signal 130 that represents the operating state of the rotating device 100. In this example, the measuring device 120 is a speed detector that measures (also referred to as "detecting") the rotational speed of the rotating device 100, and outputs a measurement signal 130 (rotational speed signal) that represents the rotational speed of the rotating device 100. The speed detector is, for example, a rotary encoder or a resolver. The measurement signal 130 is input to the monitoring device 200 through a predetermined communication line. The predetermined communication line is, for example, a one-to-one communication line or a local area network (LAN) such as in a factory.

[0025] The measuring device 120 may be a device that measures a physical quantity other than the rotational speed (for example, an electrical physical quantity such as current or voltage for driving the rotating device 100) as a physical quantity that represents the operating state of the rotating device 100.

[0026] The monitoring device 200 monitors the state of the rotating device 100 based on the measurement signal 130 acquired from the measuring device 120 .

[0027] The monitoring device 200 is, for example, a terminal device, a programmable logic controller (PLC), an edge controller, an edge server, or the like installed inside or on the same premises of a factory where the rotating device 100 and the other devices 110 are installed. Furthermore, the monitoring device 200 may be built into a power conversion device such as an inverter device or a servo amplifier that supplies power to and drives the rotating device 100. In this case, the function of the monitoring device 200 may be integrated into a control circuit that controls the power conversion device, or may be built into the power conversion device separately from the control circuit. Furthermore, the monitoring device 200 may be an on-premise server or a cloud server of a monitoring center installed at a location separate from the factory premises where the rotating device 100 and the other devices 110 are installed.

[0028] The functions of the monitoring device 200 are realized by any hardware or any combination of hardware and software. For example, as shown in Fig. 3, the monitoring device 200 includes an external interface 201, an auxiliary storage device 202, a memory device 203, a CPU 204, a high-speed calculation device 205, a communication interface 206, an input device 207, a display device 208, and a sound output device 209. The components of the monitoring device 200 are communicatively connected by a bus BS2.

[0029] The external interface 201 functions as an interface for reading data from the recording medium 201A and writing data to the recording medium 201A. Examples of the recording medium 201A include a flexible disk, a CD (Compact Disc), a DVD (Digital Versatile Disc), a BD (Blu-ray (registered trademark) Disc), an SD memory card, a USB memory, etc. This allows the monitoring device 200 to read various data used in processing through the recording medium 201A, store the data in the auxiliary storage device 202, and install programs that realize various functions.

[0030] The monitoring device 200 may obtain various data and programs used in processing from an external device (for example, the external device 300) via the communication interface 206.

[0031] The auxiliary storage device 202 stores various installed programs as well as files and data necessary for various processes. The auxiliary storage device 202 includes, for example, a hard disk drive (HDD), a solid state disk (SSD), a flash memory, etc.

[0032] When an instruction to start a program is received, the memory device 203 reads and stores the program from the auxiliary storage device 202. The memory device 203 includes, for example, a dynamic random access memory (DRAM) or a static random access memory (SRAM).

[0033] The CPU 204 executes various programs loaded from the auxiliary storage device 202 to the memory device 203, and realizes various functions related to the monitoring device 200 in accordance with the programs.

[0034] The high-speed arithmetic unit 205 performs arithmetic processing at a relatively high speed in cooperation with the CPU 204. The high-speed arithmetic unit 205 includes, for example, a graphics processing unit (GPU), an application specific integrated circuit (ASIC), or a field-programmable gate array (FPGA).

[0035] The high-speed calculation device 205 may be omitted depending on the required calculation processing speed.

[0036] The communication interface 206 is used as an interface for communicatively connecting with external devices. This allows the monitoring device 200 to communicate with devices external to the monitoring device 200, such as the measuring device 120 and the external device 300, via the communication interface 206. The communication interface 206 may have multiple types of communication interfaces depending on the communication method between the connected devices, etc.

[0037] The input device 207 accepts various inputs from the user.

[0038] The input device 207 includes, for example, an input device that accepts mechanical operation input from a user (hereinafter referred to as a "mechanical input device"), such as a button, a toggle, a lever, a keyboard, a mouse, a touch panel mounted on the display device 208, and a touch pad provided separately from the display device 208.

[0039] The input device 207 may also include a voice input device capable of receiving voice input from the user. The voice input device includes, for example, a microphone capable of collecting the user's voice.

[0040] The input device 207 may also include a gesture input device capable of receiving gesture input from a user. The gesture input device includes, for example, a camera capable of capturing images of the user's gestures.

[0041] The input device 207 may also include a biometric input device capable of accepting biometric input from a user. The biometric input device includes, for example, a camera capable of acquiring image data containing information about a user's fingerprint or iris.

[0042] The display device 208 displays an information screen and an operation screen for the user of the monitoring device 200. The display device 208 is, for example, a liquid crystal display or an organic EL (Electroluminescence) display.

[0043] The sound output device 209 conveys various pieces of information by sound to the user of the monitoring device 200. The sound output device 209 is, for example, a buzzer, an alarm, a speaker, or the like.

[0044] The external device 300 is provided separately from the monitoring device 200 and is communicatively connected to the monitoring device 200 via a predetermined communication line. The external device 300 is, for example, a management terminal device or a server device that manages the rotating devices 100 that are distributed across multiple factories.

[0045] The external device 300 transmits, for example, external information 310 to the monitoring device 200 as information (monitoring information) necessary for the monitoring device 200 to monitor the state of the rotation device 100.

[0046] The external information 310 includes, for example, information related to the specifications of the bearing 104x (bearing specification information). The specifications of the bearing 104x include, for example, the diameter d of the rolling element 1043 (rolling element diameter), the pitch circle diameter D of the rolling element 1043 disposed between the outer ring 1041 and the inner ring 1042, the contact angle α of the rolling element 1043, and the number Z of the rolling elements 1043 (number of rolling elements). The external information 310 may also include information related to conditions (monitoring conditions) for monitoring the state of the rotating device 100 and information related to criteria (monitoring criteria) used in the monitoring conditions. For example, when the rotating device 100 is monitored (also referred to as "diagnosis") for the presence or absence of an abnormality based on the measurement signal 130, the monitoring conditions are conditions related to physical quantities corresponding to the measurement signal 130 for diagnosing that the rotating device 100 is abnormal, and the monitoring criteria are threshold values ​​used in the conditions (for example, a threshold value Ath described below).

[0047] Furthermore, the external device 300 may receive information (monitoring result information 320) relating to the monitoring results of the state of the rotation device 100 from the monitoring device 200.

[0048] The monitoring result information 320 includes information that indicates the monitoring results of the state of the rotating device 100. The monitoring result information 320 may also include information that is generated (e.g., calculated) by the monitoring device 200 to obtain the monitoring results of the state of the rotating device 100.

[0049] The functions of the external device 300 may be integrated into the monitoring device 200. In other words, information corresponding to the external information 310 may be registered in advance in the monitoring device 200. In this case, the external device 300 may be omitted.

[0050] [First example of functional configuration of monitoring device] Next, a first example of the functional configuration of the monitoring device 200 according to this embodiment will be described with reference to FIGS.

[0051] Fig. 4 is a functional block diagram showing a first example of the functional configuration of the monitoring device 200. Fig. 5 is a diagram showing an example of the normal frequency components of the reference data representing the operating state of the rotating device 100 when the specific state to be monitored does not occur, and a diagram showing an example of the difference between the monitoring frequency components of the reference data representing the operating state of the rotating device 100 when the specific state to be monitored does not occur and when it occurs. Fig. 6 is a diagram showing an example of the normal frequency components of the reference data and initial data representing the operating state of the rotating device 100. Fig. 7 is a diagram showing the torque T t and angular velocity ω t 8 is a diagram illustrating an example of the frequency characteristics of the amplitude ratio (amplification ratio K) and the reciprocal of the amplitude ratio (correction gain G) of the same frequency component of the reference data and the initial data that represent the operating state of the rotation device 100.

[0052] 4, the monitoring device 200 includes, as functional units, an acquisition unit 2001, a storage unit 2002, a monitoring information generation unit 2003, a feature acquisition unit 2004, a correction unit 2005, a monitoring unit 2006, and a notification unit 2007. These functional units are realized, for example, by a program installed in the auxiliary storage device 202 being loaded into the memory device 203 and executed on the CPU 204. Furthermore, the function of the storage unit 2002 is realized, for example, by a storage area defined in the auxiliary storage device 202 or a storage device connected to the monitoring device 200.

[0053] The acquisition unit 2001 acquires various types of information and data from outside the monitoring device 200 .

[0054] For example, the acquisition unit 2001 acquires the external information 310 received from the external device 300 via the communication interface 206 .

[0055] Furthermore, for example, the acquiring unit 2001 acquires measurement data (operating state data) of physical quantities representing the operating state of the rotating device 100 based on the measurement signal 130 received from the measuring device 120 via the communication interface 206.

[0056] The storage unit 2002 stores information (monitoring information) required to monitor the state of the rotation device 100.

[0057] The monitoring information generating unit 2003 generates information (monitoring information) required to monitor the state of the rotating device 100 based on the operating state data.

[0058] The monitoring information generation unit 2003 includes a reference data acquisition unit 2003A, a storage unit 2003B, an initial data acquisition unit 2003C, a storage unit 2003D, a monitoring standard setting unit 2003E, and a correction gain calculation unit 2003F. These functional units are realized, for example, by a program installed in the auxiliary storage device 202 being loaded into the memory device 203 and executed on the CPU 204. Furthermore, the functions of the storage units 2003B and 2003D are realized, for example, by storage areas defined in the memory device 203 or the auxiliary storage device 202.

[0059] The reference data acquisition unit 2003A acquires time-series data (reference data) that serves as a reference for physical quantities that represent the operating state of the rotation device 100 under predetermined operating conditions. The predetermined operating conditions are the operating conditions when the rotation device 100 is installed at a site such as a factory and actually operated.

[0060] The reference data of the physical quantities representing the operating state of the rotating device 100 is, for example, measurement data (i.e., operating state data) for a predetermined period during a test (shipment test) of the rotating device 100 under predetermined operating conditions that is conducted when the rotating device 100 is shipped. The shipping test may be a test of the rotating device 100 alone, or a test of the rotating device 100 connected to a device that simulates another device 110. In this case, the reference data acquiring unit 2003A acquires, as reference data, the operating state data of the rotating device 100 during the shipping test, which is acquired by the acquiring unit 2001. The operating conditions of the rotating device 100 are, for example, the rotational speed conditions of the rotating device 100, and in this case, the predetermined operating conditions are the same rotational speed conditions as the rotational speed when the rotating device 100 is actually operated.

[0061] Furthermore, the reference data for the physical quantities representing the operating state of the rotating device 100 may be operating state data for a predetermined period of time during a shipping test that has already been conducted on another rotating device 100 of an initial lot of the same model as the rotating device 100. In this case, the operating state data for the predetermined period of time during the shipping test of the other rotating device 100 is registered in the external device 300, for example, and transmitted to the monitoring device 200 as external information 310. This allows the reference data acquiring unit 2003A to acquire, as reference data, the operating state data for the predetermined period of time during the shipping test of the other rotating device 100, which is included in the external information 310 acquired by the acquiring unit 2001.

[0062] Furthermore, the reference data of the physical quantities representing the operating state of the rotating device 100 may be time-series data (simulation data) of the physical quantities representing the operating state of the rotating device 100, obtained as a result of a computer simulation that simulates the operating state of the rotating device 100 under predetermined operating conditions. In this case, the simulation data is, for example, registered in the external device 300 and transmitted to the monitoring device 200 as external information 310. This allows the reference data acquiring unit 2003A to acquire, as reference data, the simulation data included in the external information 310 acquired by the acquiring unit 2001.

[0063] The reference data of the physical quantities representing the operating state of the rotating device 100 includes reference data of the physical quantities representing the operating state of the rotating device 100 when a specific state of the monitored object of the rotating device 100 does not occur (non-occurrence reference data). Furthermore, the reference data of the physical quantities representing the operating state of the rotating device 100 may include reference data of the physical quantities representing the operating state of the rotating device 100 when a specific state of the monitored object of the rotating device 100 occurs (occurrence reference data). The specific state of the monitored object of the rotating device 100 is, for example, an abnormality of the type of the monitored object of the rotating device 100. An abnormality of the type of the monitored object of the rotating device 100 includes, for example, an abnormality of the bearing 104x. Furthermore, the abnormality of the type of the monitored object of the rotating device 100 may include other types of abnormalities instead of or in addition to the abnormality of the bearing 104x. When there are multiple types of specific states of the monitored object of the rotating device 100 (for example, when there are multiple types of monitored abnormalities), the occurrence reference data is acquired for each type of specific state.

[0064] For example, in a shipping test, the control device controls the rotating device 100 to simulate the occurrence of a specific state under predetermined operating conditions, thereby causing the rotating device 100 to experience a specific state. Also, in a computer simulation, for example, a simulation condition corresponding to the cause of the specific state in the rotating device 100 is set, and the simulation device causes the rotating device 100 to experience a specific state.

[0065] Furthermore, the reference data acquiring unit 2003A may process the acquired reference data of the physical quantities representing the operating state of the rotation device 100, and acquire data (processed data) required by the monitoring standard setting unit 2003E and the correction gain calculation unit 2003F.

[0066] For example, the reference data acquisition unit 2003A extracts normal frequency components from the non-occurrence reference data and acquires feature quantity data for the normal frequency components from the non-occurrence reference data. The reference data acquisition unit 2003A also acquires feature quantity data for the normal frequency and monitoring frequency components from the occurrence reference data. In this case, the reference data acquisition unit 2003A performs a known frequency analysis (e.g., FFT (Fast Fourier Transform) analysis) on the non-occurrence reference data and occurrence reference data to extract the normal frequency and monitoring frequency components. When there are multiple normal frequencies, the reference data acquisition unit 2003A extracts the normal frequency components for each of the multiple normal frequencies. The same applies to the case when there are multiple monitoring frequencies.

[0067] The feature of the frequency component of the data representing the operating state of the rotating device 100 is a feature that represents a change in the state of the rotating device 100, and is, for example, the amplitude value of the frequency component of the data representing the operating state of the rotating device 100.

[0068] The normal frequency is, for example, the frequency of a component that normally appears in the operating state data when the specific state of the rotating device 100 that is the object of monitoring does not occur. The normal frequency is, for example, a component of the rotational frequency of the rotating device 100 or a harmonic component of the rotational frequency. The monitoring frequency is, for example, a frequency in the operating state data of the rotating device 100 that may significantly differ between when the specific state of the rotating device 100 that is the object of monitoring does not occur and when it does occur. In other words, the monitoring frequency is a frequency that is different from the normal frequency. Typically, the monitoring frequency is the frequency of a component that is hardly included in the operating state data when the specific state of the rotating device 100 that is the object of monitoring does not occur, and is the frequency of a component that significantly appears in the operating state data when the specific state of the rotating device 100 that is the object of monitoring does occur.

[0069] The reference data acquisition unit 2003A outputs the acquired reference data. The reference data acquisition unit 2003A may also output processed data based on the reference data instead of or in addition to the reference data.

[0070] The processed data based on the reference data may be acquired by the monitoring standard setting unit 2003E and the correction gain calculation unit 2003F, respectively, based on the reference data output from the reference data acquisition unit 2003A.

[0071] The data output from the reference data acquisition unit 2003A is registered in the storage unit 2003B. The data output from the reference data acquisition unit 2003A may also be transmitted to the external device 300 via the notification unit 2007. This allows, for example, the external device 300 to cause another rotation device 100 to use the reference data received from the rotation device 100.

[0072] The storage unit 2003B stores the data output from the reference data acquisition unit 2003A.

[0073] The initial data acquisition unit 2003C acquires time-series operating state data (initial data) of the rotating device 100 under specified operating conditions in an initial, operable state of the rotating device 100. The initial, operable state of the rotating device 100 refers to the initial state after the rotating device 100 is installed in an operable state and begins to be used. In this state, the specific state to be monitored of the rotating device 100 does not generally occur. This allows the initial data acquisition unit 2003C to acquire operating state data of the rotating device 100 under specified operating conditions when the rotating device 100 is in an operable state and the specific state to be monitored of the rotating device 100 does not occur as initial data. The use of the rotating device 100 may include not only the operation of the rotating device 100 after operation has begun, but also trial operation of the rotating device 100 on-site before operation has begun. The operable state of the rotating device 100 refers to a state in which the rotating device 100 is installed on-site, such as a factory, and is connected to other devices 110, so that the rotating device 100 can be operated. The initial operable state of the rotating device 100 is, for example, the time of trial operation when the rotating device 100 is in an operable state. In this case, the initial data acquisition unit 2003C acquires, as initial data, operating state data acquired by the acquisition unit 2001 when the rotating device 100 is in a trial operation when the rotating device 100 is in an operable state. Furthermore, the initial operable state of the rotating device 100 is the time of initial operation immediately after the start of operation of the rotating device 100. In this case, the initial data acquisition unit 2003C acquires, as initial data, operating state data acquired by the acquisition unit 2001 when the rotating device 100 is in initial operation.

[0074] Furthermore, the initial data acquiring unit 2003C may process the acquired initial data of the physical quantities representing the operating state of the rotation device 100, and acquire data (processed data) required by the correction gain computing unit 2003F.

[0075] For example, the initial data acquiring unit 2003C extracts normal frequency components of the initial data of the physical quantity representing the operating state of the rotation device 100, and acquires data of feature quantities (e.g., amplitude values) of the normal frequency components of the initial data. In this case, the initial data acquiring unit 2003C performs, for example, a known frequency analysis (e.g., FFT analysis) on the initial data to extract the normal frequency components. When there are multiple normal frequencies, the reference data acquiring unit 2003A extracts the normal frequency components for each of the multiple normal frequencies.

[0076] The initial data acquiring unit 2003C outputs the acquired initial data of the physical quantities representing the operating state of the rotation device 100. Furthermore, the initial data acquiring unit 2003C may output processed data based on the initial data instead of or in addition to the initial data.

[0077] The processed data based on the initial data may be acquired by the correction gain calculation unit 2003F based on the initial data output from the initial data acquisition unit 2003C.

[0078] The data output from the initial data acquisition unit 2003C is registered in the storage unit 2003D. The data output from the initial data acquisition unit 2003C may also be transmitted to the external device 300 via the notification unit 2007. This allows the external device 300 to monitor (also referred to as "evaluate") changes in the mechanical characteristics (e.g., moment of inertia J, viscosity coefficient B, etc.) of the rotating device 100 that accompany the implementation of the rotating device 100 into an operable state, based on data corresponding to the reference data and data corresponding to the initial data.

[0079] Furthermore, the monitoring device 200 may monitor (i.e., evaluate) changes in the mechanical characteristics of the rotating device 100 as the rotating device 100 is implemented into an operable state based on data corresponding to the reference data and data corresponding to the initial data.

[0080] The storage unit 2003D stores the data output from the initial data acquisition unit 2003C.

[0081] The monitoring standard setting unit 2003E sets monitoring standards for monitoring the state of the rotating device 100 based on the data stored in the memory unit 2003D. For example, the monitoring standard setting unit 2003E sets monitoring standard values ​​(e.g., threshold Ath and threshold SUMth) for monitoring the state of the rotating device 100 based on the amplitude value A of the component of the frequency to be monitored (monitoring frequency) in the operating state data of the rotating device 100. The threshold Ath is the monitoring standard value for the amplitude value A of the component of the monitoring frequency in the operating state data of the rotating device 100. The threshold SUMth is the monitoring standard value for the sum SUM of the amplitude values ​​A of the components of the multiple monitoring frequencies when there are multiple monitoring frequencies.

[0082] Monitoring the state of the rotating device 100 may include, for example, monitoring whether a specific state of the rotating device 100 has occurred (in other words, diagnosing whether a specific state has occurred). Monitoring the state of the rotating device 100 may also include monitoring the degree of abnormality (degree of abnormality) when a specific state of a monitored object of the rotating device 100 is an abnormal state (in other words, diagnosing the degree of abnormality). Monitoring the state of the rotating device 100 may also include monitoring whether there are signs of the occurrence of a specific state of the rotating device 100 (in other words, diagnosing whether there are signs of the occurrence of a specific state of the rotating device 100). Monitoring the state of the rotating device 100 may also include monitoring the remaining life of the rotating device 100 (in other words, diagnosing the remaining life of the rotating device 100).

[0083] The monitoring standard setting unit 2003E sets a monitoring standard (for example, a threshold value Ath) for monitoring a specific state of the rotating device 100 based on the difference between the feature amounts (for example, the amplitude value A) of the monitoring frequency components of the non-occurrence time reference data and the occurrence time reference data. Furthermore, when there are multiple monitoring frequencies, the monitoring standard setting unit 2003E may set a monitoring standard (for example, a threshold value Ath) for each of the multiple monitoring frequencies, or may set a monitoring standard (for example, a threshold value SUMth) for comprehensively evaluating the multiple monitoring frequencies.

[0084] 5, for example, the difference between the amplitude values ​​A of the components of the same monitoring frequency in the non-occurrence reference data and the occurrence reference data is set as the threshold value Ath. This allows the monitoring device 200 to monitor a specific state of the rotating device 100 based on whether the amplitude value A of the monitoring frequency component of the operating state data of the rotating device 100 is equal to or greater than the threshold value Ath or whether it is larger than the threshold value Ath. Furthermore, when there are multiple monitoring frequencies, a threshold value Ath may be set for each of the multiple monitoring frequency components, and the threshold value SUMth may be calculated from the threshold values ​​Ath of the multiple monitoring frequency components.

[0085] The monitoring standard setting unit 2003E outputs information (monitoring standard information) relating to the monitoring standard including the set monitoring standard (for example, the threshold Ath and the threshold SUMth).

[0086] The monitoring criteria information output from the monitoring criteria setting unit 2003E is registered in the storage unit 2002. Furthermore, the monitoring criteria information set by the monitoring criteria setting unit 2003E may be transmitted to the external device 300 via the notification unit 2007. This allows the external device 300 to use the monitoring criteria set by the monitoring device 200 for monitoring other rotating devices 100.

[0087] 4, the correction gain calculation unit 2003F calculates the correction gain G based on the reference data (specifically, the non-occurrence reference data) stored in the storage unit 2003B and the initial data stored in the storage unit 2003D. In this example, the correction gain G is used by the correction unit 2005 to correct the feature amount of the monitoring frequency component in the operating state data of the rotation device 100.

[0088] 6, there may be significant differences between the same frequency components of the reference data (specifically, the non-occurrence reference data) and the initial data. This is because the mechanical characteristics of the rotating device 100, which are the basis for the reference data, may change between the reference data and the initial data due to factors not taken into account, such as the influence of the connection between the rotating device 100 and other devices 110 and the influence of the installation conditions of the rotating device 100 at the site. The mechanical characteristics of the rotating device 100 include, for example, the moment of inertia J and the viscosity coefficient B.

[0089] For example, consider a case where the physical quantity representing the operating state of the rotating device 100 is the rotational speed.

[0090] The equation of motion of the rotating device 100 (specifically, the electric motor) is the torque T t , angular velocity ω t , moment of inertia J, and viscosity coefficient B, is expressed by the following equation (1).

[0091]

number

[0092] From equation (1), torque T t is input, and the angular velocity ω t The transfer function G(s) with the output is expressed by the following equation (2).

[0093]

number

[0094] Angular velocity ω as a physical quantity representing the operating state of the rotating device 100 t The frequency characteristics of are determined by the transfer function G(s), so from equation (2), the angular velocity ω t It can be seen that the frequency characteristics of the angular velocity ω depend on the moment of inertia J and the viscosity coefficient B as mechanical characteristics of the rotating device 100. Therefore, when at least one of the moment of inertia J and the viscosity coefficient B of the rotating device 100 changes due to the implementation of the rotating device 100 in an operational state, tThe frequency characteristics of the rotation speed, which is proportional to the

[0095] Specifically, from Equation (2), the transfer function G(s) can be approximated as a first-order lag system. In this case, as shown in FIG. 7, the gain of the transfer function G(s) is 1 (0 dB) at frequencies smaller than the inverse B / J of the coefficient J / B. It is attenuated at frequencies larger than the inverse B / J, becoming 1 / 10 (-20 dB) at a frequency 10 times the inverse B / J. Therefore, when at least one of the moment of inertia J and the viscosity coefficient B changes as the rotating device 100 is put into an operational state, the inverse B / J, which corresponds to the frequency at which attenuation begins, changes. As a result, the gain of the transfer function G(s) may change relatively significantly in a relatively large frequency band. Therefore, the feature quantity (e.g., amplitude value A) of the monitoring frequency component of the rotational speed measurement data of the rotating device 100 after operation has begun may change relatively significantly compared to the state of the rotating device 100 corresponding to the reference data.

[0096] In this way, when the mechanical characteristics of the rotating device 100 change as the rotating device 100 is implemented into an operational state, even the feature quantities of the components of the same monitoring frequency may change from the state of the rotating device 100 corresponding to the reference data.

[0097] On the other hand, as described above, the monitoring criteria set based on the reference data do not take into account changes in the mechanical characteristics of the rotating device 100. Therefore, the monitoring device 200 can correct the feature amount of the monitoring frequency component of the operating state data of the rotating device 100 after operation has started by multiplying the feature amount by the correction gain G, thereby suppressing the influence of changes in the mechanical characteristics of the rotating device 100.

[0098] The correction gain G is the amplification ratio K of the feature quantity of the frequency component of the operating state data before and after the change in the mechanical characteristics due to the implementation of the rotating device 100 in an operational state. o The reciprocal of (=1 / K o ) The amplification ratio K ocan be considered to be equivalent to the amplification ratio K of the amplitude value of the same normal frequency component of the non-occurrence reference data corresponding to before the rotating device 100 is implemented in an operational state and the initial data corresponding to after the rotating device 100 is implemented in an operational state.

[0099] For example, as shown in Fig. 6, the correction gain calculation unit 2003F calculates an amplification ratio K (and its reciprocal, the correction gain G) from the feature amount (specifically, the amplitude value) of the component of the same normal frequency of the reference data and the initial data for each of a plurality of normal frequencies across a frequency band that covers all monitoring frequencies. In this case, the correction gain calculation unit 2003F can acquire the feature amount (i.e., the amplitude value) of the component of the normal frequency of the reference data and the initial data by performing a known frequency analysis (e.g., FFT analysis). This allows the correction gain calculation unit 2003F to acquire the frequency characteristics of the amplification ratio K and the correction gain G, which is its reciprocal.

[0100] For example, as shown in FIG. 8, the correction gain calculation unit 2003F calculates the normal frequency f k (k=1,...,n; n is an integer equal to or greater than 2) k -σ k ~f k +σ k For each frequency band, the normal frequency f k Amplification ratio K of the component k and correction gain 1 / K k This allows the correction gain calculation unit 2003F to obtain the frequency characteristics of the amplification ratio K and the correction gain G, which are expressed in a table format.

[0101] Furthermore, the frequency f k +σ k is the frequency f k+1 -σ k+1 and at frequency f k -σ k is the frequency f k-1 +σ k-1 The constant σ k is set.

[0102] In addition, the frequency characteristics of the amplification ratio K are k Based on the amplification ratio K for each frequency, the function K(f) of frequency f may be obtained by an approximation using coefficients α, β, and γ, as shown in the following equation (3). The same applies to the frequency characteristics of the correction gain G.

[0103]

number

[0104] Note that equation (3) is an example, and an approximation equation in a form other than a quadratic function may be adopted as the function K(f).

[0105] The correction gain calculation unit 2003F outputs information (correction gain information) about the correction gain G. The correction gain information includes, for example, information indicating the frequency characteristics of the correction gain G.

[0106] The correction gain information output from the correction gain calculation unit 2003F is registered in the storage unit 2002. The correction gain information output from the correction gain calculation unit 2003F may be transmitted to the external device 300 via the notification unit 2007.

[0107] The correction gain calculation unit 2003F may obtain the correction gain G of the normal frequency that is closest to the monitoring frequency, instead of obtaining the frequency characteristics of the correction gain G. For example, when there is one monitoring frequency, the correction gain calculation unit 2003F calculates the correction gain G of the normal frequency that is closest to the monitoring frequency.

[0108] Returning to FIG. 4 , the feature amount acquiring unit 2004 applies known frequency analysis (e.g., FFT analysis, etc.) to extract a monitoring frequency component from the operating state data of the rotating device 100 acquired by the acquiring unit 2001 after the start of operation. Specifically, the feature amount acquiring unit 2004 extracts the monitoring frequency component from the operating state data of the rotating device 100 acquired by the acquiring unit 2001 for each predetermined control period after the start of operation following measurement of the above-mentioned initial data. When there are multiple monitoring frequencies, the feature amount acquiring unit 2004 extracts the monitoring frequency component for each of the multiple monitoring frequencies. Then, the feature amount acquiring unit 2004 acquires a feature amount (e.g., amplitude value A) of the extracted monitoring frequency component of the operating state data of the rotating device 100.

[0109] The feature amount acquiring unit 2004 outputs data (feature amount data) that represents the feature amount of the monitoring frequency component of the acquired operating state data of the rotating device 100.

[0110] The correction unit 2005 corrects the feature amount of the monitoring frequency component of the operating state data of the rotating device 100, acquired by the feature amount acquisition unit 2004, based on the correction gain information stored in the storage unit 2002. For example, the correction unit 2005 corrects the amplitude value A of the monitoring frequency component of the operating state data of the rotating device 100 by multiplying the amplitude value A of the monitoring frequency component of the operating state data of the rotating device 100 by a correction gain G (=1 / K). In other words, the amplitude value A after correction (corrected amplitude value) is expressed by the following equation (4).

[0111]

number

[0112] When there are multiple monitoring frequencies, the corrector 2005 corrects the amplitude value A of the monitoring frequency component for each of the multiple monitoring frequencies to obtain a corrected amplitude value A_c.

[0113] The corrector 2005 outputs the corrected feature amount data. The corrected feature amount data includes, for example, a feature amount (for example, a corrected amplitude value A_c) of the monitoring frequency component of the operating state data of the rotating device 100 after correction.

[0114] The monitoring unit 2006 monitors the state of the rotating device 100 based on the corrected feature amount data output from the correction unit 2005. For example, the monitoring unit 2006 monitors a specific state of the rotating device 100 based on whether or not the corrected amplitude value A_c of the monitoring frequency component of the operating state data of the rotating device 100 is equal to or greater than the threshold value Ath, or whether or not it exceeds the threshold value Ath.

[0115] The monitoring unit 2006 outputs the monitoring results of the state of the rotation device 100 .

[0116] The notification unit 2007 notifies the outside of the monitoring device 200 of information relating to the monitoring result of the monitoring device 200 (monitoring result information 320).

[0117] For example, the notification unit 2007 outputs monitoring result information 320, such as the monitoring result of the state of the rotating device 100, via the display device 208 or the sound output device 209. This allows the monitoring device 200 to notify the user of the monitoring system 1 using the monitoring device 200 of the monitoring result of the state of the rotating device 100. The notification unit 2007 may also notify the user of the monitoring system 1 of the monitoring result information 320, such as information indicating the monitoring result of the state of the rotating device 100, via an indicator or the like associated with the other device 110 or the rotating device 100. In this case, the notification unit 2007 outputs a notification command including the monitoring result information 320 to the indicator or the like of the other device 110 or the rotating device 100 via the communication interface 206. The notification unit 2007 may also transmit the monitoring result information 320 to the external device 300. This allows the monitoring device 200 to notify the user of the monitoring system 1 of the monitoring result of the state of the rotating device 100 via the display device, sound output device, or the like of the external device 300. Furthermore, the notification unit 2007 may output the monitoring result information 320 to the outside of the monitoring device 200 so that the diagnosis result can be confirmed on a terminal device (user terminal) used by a user of the monitoring system 1. For example, the notification unit 2007 transmits the monitoring result information 320, such as information indicating the monitoring result of the state of the rotation device 100, to a mobile terminal (e.g., a smartphone or a tablet terminal) used by the user via the communication interface 206 as a push notification. Furthermore, the notification unit 2007 may transmit the information indicating the monitoring result of the state of the rotation device 100 to the user's email address or SNS (Social Networking Service) account via the communication interface 206.

[0118] When outputting information indicating the monitoring results of the state of the rotating device 100 to the outside, the notification unit 2007 may output the information indicating the monitoring results regardless of the content of the information, or may output the information indicating the monitoring results only when the monitoring results indicate that a problem has occurred in the rotating device 100. The cases in which the monitoring results indicate that a problem has occurred in the rotating device 100 include, for example, when the monitoring results indicate that a specific state (e.g., an abnormality) has occurred in the rotating device 100 or there are signs of such a state, or when the monitoring results indicate that the rotating device 100 has an abnormality level equal to or exceeding a predetermined standard.

[0119] [Processing operation of the reference data acquisition unit] Next, the processing operation of the reference data acquisition unit 2003A will be described with reference to FIG.

[0120] FIG. 9 is a flowchart showing an example of the process of the reference data acquisition unit 2003A.

[0121] This flowchart is executed, for example, when a command to operate in a shipping mode (shipping mode command) is acquired from the external device 300 via the acquisition unit 2001. The shipping mode is an operation mode of the monitoring device 200 for handling shipping tests of the rotation device 100.

[0122] 9, in step S102, the reference data acquisition unit 2003A determines whether data corresponding to the reference data has been registered in the storage unit 2003B. The data corresponding to the reference data is the reference data itself or processed data based on the reference data. If the reference data acquisition unit 2003A determines that the data corresponding to the reference data has not been registered, the process proceeds to step S104; if the data has been registered, the process ends this flow chart.

[0123] In step S104, the reference data acquisition unit 2003A acquires operating state data of the rotating device 100 for a predetermined period when the specific state to be monitored in the rotating device 100 does not occur and when it occurs.

[0124] As a result, the reference data acquisition unit 2003A can acquire, through the acquisition unit 2001, operating state data when a specific state to be monitored in the rotating device 100 does not occur and when it occurs, as non-occurrence reference data and occurrence reference data, respectively.

[0125] When the process of step S104 ends, the monitoring device 200 proceeds to step S106.

[0126] In step S106, the reference data acquisition unit 2003A performs frequency analysis on the non-occurrence reference data and the occurrence reference data.

[0127] When the process of step S106 is completed, the monitoring device 200 proceeds to step S108.

[0128] In step S108, the reference data acquisition unit 2003A extracts normal frequency components of the non-occurrence reference data based on the result of the frequency analysis in step S106.

[0129] When the process of step S108 is completed, the monitoring device 200 proceeds to step S110.

[0130] In step S110, the reference data acquisition unit 2003A extracts the monitoring frequency components of the non-occurrence reference data based on the result of the frequency analysis in step S106.

[0131] When the process of step S110 is completed, the monitoring device 200 proceeds to step S112.

[0132] In step S112, the reference data acquisition unit 2003A extracts the monitoring frequency components of the occurrence reference data based on the result of the frequency analysis in step S106.

[0133] When the process of step S112 is completed, the monitoring device 200 proceeds to step S114.

[0134] In step S114, the reference data acquisition unit 2003A outputs amplitude value data for each component of the target frequency for each of the non-occurrence reference data and the occurrence reference data. Specifically, the reference data acquisition unit 2003A outputs amplitude value data for each component of the normal frequency and monitoring frequency for the non-occurrence reference data, and amplitude value data for each component of the monitoring frequency for the occurrence reference data.

[0135] When the process of step S114 is completed, the monitoring device 200 ends the process of this flowchart.

[0136] [Processing operation of the initial data acquisition part] Next, the processing operation of the initial data acquisition unit 2003C will be described with reference to FIG.

[0137] FIG. 10 is a flowchart showing an example of the process of the initial data acquisition unit 2003C.

[0138] This flowchart is executed, for example, when a command to operate in a correction mode (correction mode command) is acquired from the external device 300 via the acquisition unit 2001. The correction mode is an operation mode of the monitoring device 200 for acquiring the correction gain G, and the correction mode command is output from the external device 300 during a test run of the rotation device 100 in an operational state or during initial operation. The correction mode command is output from the external device 300 to the monitoring device 200 in response to an instruction input by an operator of the monitoring device 200, etc., in accordance with the timing of a test run of the rotation device 100 in an operational state or initial operation. Furthermore, the correction mode command may be automatically transmitted from the external device 300 to the monitoring device 200 in accordance with a predetermined timing of a test run or start of operation of the rotation device 100.

[0139] 10, in step S202, the initial data acquisition unit 2003C determines whether data corresponding to the reference data has been registered in the storage unit 2003B. If the data corresponding to the reference data has not been registered in the storage unit 2003B, the initial data acquisition unit 2003C proceeds to step S204, and if the data has been registered, the initial data acquisition unit 2003C proceeds to step S206.

[0140] In step S204, initial data acquisition unit 2003C outputs an error signal indicating that data corresponding to the reference data is not registered in storage unit 2003B.

[0141] As a result, the error signal is transmitted to the external device 300 via the notification unit 2007.

[0142] When the process of step S204 is completed, the monitoring device 200 ends the process of this flowchart.

[0143] On the other hand, in step S206, the initial data acquisition unit 2003C acquires, via the acquisition unit 2001, the latest operating state data for a predetermined period.

[0144] As a result, the initial data acquisition unit 2003C can acquire, as initial data, operating state data during a test run when the rotating device 100 is in an operable state or during initial operation.

[0145] When the process of step S206 is completed, the monitoring device 200 proceeds to step S208.

[0146] In step S208, the initial data acquisition unit 2003C performs frequency analysis on the initial data.

[0147] When the process of step S208 is completed, the monitoring device 200 proceeds to step S210.

[0148] In step S210, the initial data acquisition unit 2003C extracts normal frequency components of the initial data based on the result of the frequency analysis in step S208.

[0149] When the process of step S210 is completed, the monitoring device 200 proceeds to step S212.

[0150] In step S212, the initial data acquisition unit 2003C outputs data on the amplitude value for each normal frequency component.

[0151] When the process of step S212 is completed, the monitoring device 200 ends the process of this flowchart.

[0152] [Processing operation of the monitoring criteria setting unit] Next, the processing operation of the monitoring standard setting unit 2003E will be described with reference to FIG.

[0153] FIG. 11 is a flowchart showing an example of the process of the monitoring standard setting unit 2003E.

[0154] This flowchart is executed, for example, at a predetermined timing after the reference data has been acquired.

[0155] In step S302, the monitoring standard setting unit 2003E determines whether data corresponding to the reference data has been registered in the memory unit 2003B. If the data corresponding to the reference data has not been registered in the memory unit 2003B, the monitoring standard setting unit 2003E proceeds to step S304, and if the data has been registered, the monitoring standard setting unit 2003E proceeds to step S306.

[0156] In step S304, the monitoring standard setting unit 2003E outputs an error signal indicating that data corresponding to the standard data has not been properly registered.

[0157] As a result, the error signal is transmitted to the external device 300 via the notification unit 2007.

[0158] When the process of step S304 is completed, the monitoring device 200 ends the process of this flowchart.

[0159] In step S306, the monitoring standard setting unit 2003E sets a monitoring standard based on data corresponding to the reference data. Specifically, the monitoring standard setting unit 2003E calculates a threshold value Ath based on the amplitude values ​​of the monitoring frequency components of the non-occurrence reference data and the occurrence reference data, and sets the threshold value Ath as the monitoring standard.

[0160] When the process of step S306 is completed, the monitoring device 200 proceeds to step S308.

[0161] In step S308, the monitoring criteria setting unit 2003E outputs monitoring criteria information including the monitoring criteria set in step S306.

[0162] When the process of step S308 is completed, the monitoring device 200 ends the process of this flowchart.

[0163] [Processing operation of correction gain calculation section] Next, the processing operation of the correction gain calculation section 2003F will be described with reference to FIG.

[0164] FIG. 12 is a flowchart showing an example of the process of the correction gain calculation unit 2003F.

[0165] This flowchart is executed, for example, in the correction mode of the monitoring device 200 at a predetermined timing after the acquisition of the initial data is completed.

[0166] 12, in step S402, the correction gain calculation unit 2003F determines whether data corresponding to the initial data has been registered in the storage unit 2003D. If data corresponding to the initial data has been registered in the storage unit 2003D, the correction gain calculation unit 2003F proceeds to step S404, and if data corresponding to the initial data has not been registered, the correction gain calculation unit 2003F ends the processing of this flowchart.

[0167] In step S404, the correction gain calculation unit 2003F determines whether data corresponding to the reference data has been registered in the storage unit 2003B. If data corresponding to the reference data has been registered in the storage unit 2003B, the correction gain calculation unit 2003F proceeds to step S406, and if data has not been registered, the correction gain calculation unit 2003F ends the processing of this flowchart.

[0168] In step S406, the correction gain calculation unit 2003F calculates the amplification ratio K and the correction gain G based on the amplitude values ​​of the normal frequency components of the non-occurrence reference data and the initial data.

[0169] When the process of step S406 is completed, the monitoring device 200 proceeds to step S408.

[0170] In step S408, the correction gain calculation unit 2003F outputs correction gain information including the frequency characteristic of the correction gain G obtained as the calculation result in step S406.

[0171] When the process of step S408 is completed, the monitoring device 200 ends the process of this flowchart.

[0172] [First example of a method for monitoring the condition of rotating equipment] Next, a first example of a method for monitoring the state of the rotating device 100 will be described with reference to FIG.

[0173] In this example, it is assumed that there is one monitoring frequency.

[0174] 13 is a diagram showing a first example of a method for monitoring the state of the rotation device 100. Specifically, FIG.

[0175] This flowchart is executed, for example, every time corrected feature amount data is input from the corrector 2005 while the rotation device 100 is in operation.

[0176] 13, in step S502, the monitoring unit 2006 determines whether the corrected amplitude value A of the monitoring frequency component of the operating state data of the rotating device 100 (i.e., the corrected amplitude value A_c) is equal to or greater than a threshold value Ath. If the corrected amplitude value A_c is equal to or greater than the threshold value Ath, the monitoring unit 2006 determines that there is an abnormality in the rotating device 100, and proceeds to step S504. On the other hand, if the corrected amplitude value A_c is not equal to or greater than the threshold value Ath, the monitoring unit 2006 determines that there is no abnormality in the rotating device 100 (i.e., that it is normal), and ends the processing of this flowchart.

[0177] In step S504, the monitoring unit 2006 outputs a monitoring result indicating that the rotation device 100 has an abnormality.

[0178] This allows the notification unit 2007 to notify the user of the monitoring system 1 that an abnormality has occurred in the rotating device 100.

[0179] When the process of step S504 is completed, the monitoring device 200 ends the process of this flowchart.

[0180] If the monitor 2006 determines that the corrected amplitude value A_c is not equal to or greater than the threshold value Ath (ie, NO in step S502), the monitor 2006 may output a monitor result indicating that the rotation device 100 is normal.

[0181] [Second example of a method for monitoring the condition of rotating equipment] Next, a second example of the method for monitoring the state of the rotating device 100 will be described with reference to FIG.

[0182] In this example, it is assumed that there are multiple monitored frequencies.

[0183] 14 is a diagram showing a first example of a method for monitoring the state of the rotation device 100. Specifically, FIG.

[0184] This flowchart is executed, for example, every time corrected feature amount data is input from the corrector 2005 while the rotation device 100 is in operation.

[0185] As shown in FIG. 14, in step S602, the monitor 2006 calculates the sum SUM (corrected sum SUM_c) of the corrected amplitude values ​​A_c of all the monitoring frequency components.

[0186] When the process of step S602 is completed, the monitoring device 200 proceeds to step S604.

[0187] In step S604, the monitoring unit 2006 determines whether the corrected total value SUM_c is equal to or greater than the threshold value SUMth. If the corrected total value SUM_c is equal to or greater than the threshold value SUMth, the monitoring unit 2006 determines that there is an abnormality in the rotation device 100 and proceeds to step S606. On the other hand, if the corrected total value SUM_c is not equal to or greater than the threshold value SUMth, the monitoring unit 2006 determines that there is no abnormality in the rotation device 100 and ends the processing of this flowchart.

[0188] The process in step S606 is the same as that in step S504, and therefore a description thereof will be omitted.

[0189] When the process of step S606 is completed, the monitoring device 200 ends the process of this flowchart.

[0190] If the monitor 2006 determines that the corrected total value SUM_c is not equal to or greater than the threshold value SUMth (ie, NO in step S604), the monitor 2006 may output a monitor result indicating that the rotation device 100 is normal.

[0191] [Third example of a method for monitoring the condition of rotating equipment] Next, a third example of the method for monitoring the state of the rotating device 100 will be described with reference to FIG.

[0192] In the following, this example is based on the assumption that there are multiple monitored frequencies.

[0193] 15 is a diagram showing a third example of a method for monitoring the state of the rotation device 100. Specifically, FIG.

[0194] This flowchart is executed, for example, every time corrected feature amount data is input from the corrector 2005 while the rotation device 100 is in operation.

[0195] As shown in FIG. 15, in step S702, a counter C is initialized to "0".

[0196] When the process of step S702 is completed, the monitoring device 200 proceeds to step S704.

[0197] The series of processes in steps S704, S706, and S708 are performed in a predetermined order for each of the multiple monitoring frequency components.

[0198] In step S704, the monitor 2006 determines whether the corrected amplitude value A_c of the component of the target monitoring frequency is equal to or greater than the threshold Ath. If the amplitude value A of the component of the target monitoring frequency is equal to or greater than the threshold Ath, the monitor 2006 proceeds to step S706; otherwise, the monitor 2006 proceeds to step S708.

[0199] In step S706, the monitor unit 2006 increments the counter C by "1" (C=C+1).

[0200] When the process of step S706 is completed, the monitoring device 200 proceeds to step S708.

[0201] In step S708, the monitoring unit 2006 determines whether the determination of all monitoring frequency components in step S704 has been completed. If the determination of all monitoring frequency components has been completed, the monitoring unit 2006 proceeds to step S710. If the determination of all monitoring frequency components has not been completed, the monitoring unit 2006 returns to step S704 and performs the processes from step S704 onwards for the next target monitoring frequency component.

[0202] In step S710, the monitoring unit 2006 determines whether the counter C is equal to or greater than the threshold value Cth. The threshold value Cth is stored in advance in the storage unit 2002 as monitoring information. If the counter C is equal to or greater than the threshold value Cth, the monitoring unit 2006 determines that an abnormality has occurred in the rotating device 100, and proceeds to step S712. On the other hand, if the counter C is not equal to or greater than the threshold value Cth, the monitoring unit 2006 determines that no abnormality has occurred in the rotating device 100, and ends this flow chart.

[0203] The process in step S712 is the same as that in step S504, and therefore a description thereof will be omitted.

[0204] When the process of step S712 is completed, the monitoring device 200 ends the process of this flowchart.

[0205] If the counter C is not equal to or greater than the threshold value Cth (NO in step S710), the monitoring unit 2006 may output a monitoring result indicating that the rotation device 100 is normal.

[0206] [Fourth example of a method for monitoring the condition of rotating equipment] Next, a fourth example of the method for monitoring the state of the rotating device 100 will be described with reference to FIG.

[0207] 16 is a diagram showing a fourth example of the method for monitoring the state of the rotating device 100. Specifically, the diagram shows an example of the predicted results of the time change of the monitoring frequency component of the operating state data of the rotating device 100.

[0208] In this example, a history of data (corrected feature quantity data) of corrected feature quantities (for example, amplitude values ​​A and their sum values ​​SUM) of components of the monitoring frequency of the operating state data of the rotating device 100 is accumulated. The history of the corrected feature quantity data is accumulated, for example, in the auxiliary storage device 202 of the monitoring device 200. The corrected feature quantity data may also be uploaded to the external device 300 and accumulated in the external device 300.

[0209] This allows the monitoring device 200 or the external device 300 to analyze time-series changes in the corrected feature quantities of the monitoring frequency components of the operating state data of the rotating device 100 and predict future changes. For example, the external device 300 applies a known statistical method to generate a prediction model for changes in the corrected feature quantities of the monitoring frequency components of the operating state data of the rotating device 100 based on the history of corrected feature quantity data for a large number of rotating devices 100. The external device 300 may also perform supervised learning using the history of corrected feature quantity data for the monitoring frequency components of a large number of rotating devices 100 as training data to generate a trained model for predicting changes in the feature quantities of the monitoring frequency components. Therefore, the external device 300 can, for example, distribute a prediction model for predicting changes in the corrected feature quantities of the monitoring frequency components of the operating state data of the rotating device 100 as external information 310. The external device 300 can, for example, distribute information on the prediction results of future changes in the feature quantities of the monitoring frequency components of the operating state data of the rotating device 100 (prediction result information) to the monitoring device 200 as external information 310.

[0210] The monitoring unit 2006 monitors for signs of the occurrence of a particular state of the rotating device 100, for example, by using prediction result information or a prediction model received from the external device 300 and stored in the storage unit 2002 as external information 310. The monitoring unit 2006 may also monitor the remaining life of the rotating device 100 by using the prediction result information or the prediction model.

[0211] For example, as shown in FIG. 16, based on time series data 1601 of the corrected sum SUM (corrected sum SUM_c) of the amplitude values ​​A of all monitoring frequency components up to the present (time Tc), predicted data 1602 of the time change of the corrected sum SUM_c from the present onwards is obtained.

[0212] The monitoring unit 2006 can calculate the timing (time Td) at which the corrected total value SUM_c reaches the threshold value SUMth from the relationship between the predicted data 1602 and the threshold value SUMth. Therefore, the monitoring unit 2006 can estimate the difference 1603 between the times Td and Tc as the remaining life of the rotating device 100, which is related to the specific state of the monitored object.

[0213] The monitoring unit 2006 may also predict the remaining life based on predicted data of the corrected amplitude value A_c for each component of the monitoring frequency. For example, the monitoring unit 2006 predicts the remaining life for each component of the monitoring frequency, and uses the average value, minimum value, or the like as the remaining life of the rotating device 100, which is related to the specific state of the monitored object.

[0214] Furthermore, the monitoring unit 2006 may monitor for signs of abnormality in the rotating device 100 based on the slope of the increase in the predicted data 1602 of the time change in the corrected total value SUM_c. Specifically, when the slope of the increase in the predicted data 1602 of the time change in the corrected total value SUM_c becomes large relative to a predetermined standard, the monitoring unit 2006 can be sure that the corrected total value SUM_c will exceed the threshold value SUMth.

[0215] Furthermore, the monitoring unit 2006 may diagnose whether or not there is a sign of abnormality in the rotating device 100 based on predicted data of the corrected amplitude value A_c for each component of the monitoring frequency. For example, the monitoring unit 2006 monitors whether or not there is a sign of abnormality in the bearing 104 by using the average value or maximum value of the rising slope of the predicted data of the corrected amplitude value A_c for each component of the monitoring frequency.

[0216] [Second example of functional configuration of monitoring device] Next, a second example of the functional configuration of the monitoring device 200 according to this embodiment will be described with reference to FIG.

[0217] Hereinafter, in this example, the same symbols are used for configurations that are the same as or correspond to those in the first example (FIG. 4) described above, and the explanation will focus on the parts that are different from the first example described above, and explanations of the parts that are the same as or correspond to those in the first example described above may be omitted.

[0218] FIG. 17 is a functional block diagram showing a second example of the functional configuration of the monitoring device 200. As shown in FIG.

[0219] The monitoring device 200 according to this example differs from the first example described above mainly in that the correction unit 2005 corrects the monitoring standard instead of correcting the feature amount of the monitoring frequency component of the operating state data of the rotating device 100.

[0220] The correction gain calculation unit 2003F calculates a correction gain G for correcting the monitoring standard based on the reference data (specifically, non-occurrence reference data) stored in the memory unit 2003B and the initial data stored in the memory unit 2003D.

[0221] In this example, the correction gain G corresponds to the reciprocal of the correction gain G in the first example described above. That is, in this example, the correction gain G is the amplification ratio K, and the correction gain calculation unit 2003F calculates the amplification ratio K as the correction gain G. The correction gain G (i.e., the amplification ratio K) from the correction gain calculation unit 2003F is stored in the storage unit 2002.

[0222] The correction unit 2005 corrects and outputs the monitoring criteria in accordance with the timing at which feature data is output from the feature acquisition unit 2004. Specifically, the correction unit 2005 corrects and outputs the monitoring criteria based on the monitoring criteria information and correction gain information stored in the storage unit 2002. For example, the correction unit 2005 corrects the threshold Ath by multiplying the threshold Ath by a correction gain G (=K). In other words, the corrected threshold Ath (corrected threshold Ath_c) is expressed by the following equation (5).

[0223]

number

[0224] When there are multiple monitoring frequencies, the corrector 2005 corrects the threshold Ath for each of the multiple monitoring frequencies and acquires a corrected threshold Ath_c.

[0225] In addition, the correction unit 2005 may correct the threshold value SUMth for the total value SUM of the amplitude values ​​A of the components of the multiple monitoring frequencies based on the corrected threshold value Ath_c for each of the multiple monitoring frequencies, and obtain the corrected threshold value SUMth (corrected threshold value SUMth_c).

[0226] The correction unit 2005 outputs the corrected monitoring standard information.

[0227] The monitoring unit 2006 monitors the state of the rotating device 100 based on the feature data output from the feature acquisition unit 2004 at each predetermined control cycle and the corrected monitoring standard information output from the correction unit 2005 in accordance with the output of the feature data.

[0228] For example, the monitoring unit 2006 can monitor the state of the rotating device 100 in a manner similar to the first to fourth examples of the monitoring method described above (FIGS. 13 to 16). In this case, the corrected feature amount (e.g., corrected amplitude value A_c or corrected sum value SUM_c) is replaced with an uncorrected feature amount (amplitude value A or sum value SUM), and the monitoring criterion (e.g., threshold value Ath or threshold value SUMth) is replaced with a corrected monitoring criterion (e.g., corrected threshold value Ath_c or corrected threshold value SUMth_c), so that the explanations of the first to fourth examples of the monitoring method described above can be applied.

[0229] [Third example of functional configuration of monitoring function] Next, a third example of the functional configuration of the monitoring device 200 according to this embodiment will be described with reference to FIG.

[0230] Hereinafter, in this example, the same symbols are used for configurations that are the same as or correspond to those in the first and second examples described above, and the explanation will focus on the parts that are different from the first and second examples described above, and explanations of parts that are the same as or correspond to those in the first and second examples described above may be omitted.

[0231] FIG. 18 is a functional block diagram showing a third example of the functional configuration of the monitoring device 200. As shown in FIG.

[0232] The monitoring device 200 according to this example differs from the second example described above in that the corrected monitoring criteria information, including the monitoring criteria corrected by the correcting unit 2005, is stored in the storage unit 2002.

[0233] The correction unit 2005 corrects the monitoring criteria based on the monitoring criteria information and correction gain information output from the monitoring criteria setting unit 2003E and correction gain calculation unit 2003F, respectively, and outputs the corrected monitoring criteria information.

[0234] The corrected monitoring standard information output from the corrector 2005 is stored in the memory 2002 .

[0235] The monitoring unit 2006 monitors the state of the rotating device 100 based on the feature data output from the feature acquisition unit 2004 and the corrected monitoring reference information stored in the storage unit 2002 .

[0236] This eliminates the need for the monitoring device 200 to correct the monitoring criteria every time in accordance with the output of feature amount data from the feature amount acquisition unit 2004, thereby reducing the processing load and improving processing efficiency.

[0237] [Example of a method for monitoring abnormalities in rotating equipment] 19 and 20, a specific example of a method for monitoring abnormalities in the rotating device 100 will be described. Specifically, a specific example of a method for monitoring abnormalities in the bearing 104x will be described.

[0238] FIG. 19 is a diagram illustrating an example of vibrations and changes in rotational speed occurring in the rotating device 100 due to damage to the bearing 104x. Specifically, FIG. 19 is a diagram illustrating vibrations and changes in rotational speed occurring in the rotating device 100 when damage DP, such as scratches or peeling, occurs in a portion of the circumferential direction of the contact surface between the inner ring 1042 of the bearing 104x and the rolling element 1043. FIG. 19 includes FIGS. 19A to 19C. FIG. 19A schematically illustrates the operation of the bearing 104x as the rotating device 100 rotates. FIG. 19B illustrates the time change in the vibration state of the rotating device 100 as the bearing 104x operates. FIG. 19C illustrates the time change in the rotational speed of the rotating device 100 as the bearing 104x operates. FIG. 20 illustrates a specific example of the results of a frequency analysis of the rotational speed of the rotating device 100. FIG. 20 includes FIGS. 20A to 20C. Fig. 20A shows an example of a frequency spectrum of the rotational speed of the rotating device 100 when the bearing 104 is normal. Fig. 20B shows an example of a frequency spectrum of the rotational speed of the rotating device 100 when damage occurs to a portion of the circumferential direction of the contact surface between the inner ring 1042 of the bearing 104x and the rolling element 1043. Fig. 20C shows an example of a frequency spectrum of the rotational speed of the rotating device 100 when damage occurs to a portion of the circumferential direction of the contact surface between the outer ring 1041 of the bearing 104x and the rolling element 1043.

[0239] For example, as shown in FIG. 19A, if damage DP exists on a portion of the circumferential direction of the contact surface of the inner ring 1042 with the rolling element 1043, the inner ring 1042 rotates and the rolling element 1043 revolves in accordance with the rotation of the rotating shaft 103, causing the rolling element 1043 to pass the location of the damage DP. This causes vibration as shown in FIGS. 19B and 19C, and the influence of this vibration causes fluctuations in the rotation speed of the rotating device 100. The period in which the rolling element 1043 passes the location of the damage DP on the inner ring 1042, i.e., the period in which fluctuations in the rotation speed of the rotating device 100 occur due to the damage DP on the inner ring 1042, is determined by the rotation speed of the rotating device 100 and the specifications related to the structure of the bearing 104x. The frequency (inner ring damage passing frequency) f corresponding to this period is inner is the rotation frequency f of the rotating device 100 r , and the rolling element diameter d, pitch circle diameter D, contact angle α, and number of rolling pairs Z of the bearing 104x are used to give the following formula (1).

[0240]

number

[0241] Furthermore, if damage such as scratches or peeling exists on a portion of the circumferential direction of the contact surface of the outer ring 1041 with the rolling elements 1043, the outer ring 1041 rotates and the rolling elements 1043 revolve in accordance with the rotation of the rotating shaft 103, causing the rolling elements 1043 to pass through the damaged area. This causes vibration, which in turn causes fluctuations in the rotation speed of the rotating device 100. The period in which the rolling elements 1043 pass through the damaged area of ​​the outer ring 1041, i.e., the period in which fluctuations in the rotation speed of the rotating device 100 occur due to damage to the outer ring 1041, is determined by the rotation speed of the rotating device 100 and the specifications related to the structure of the bearing 104x. The frequency (outer ring scratch passing frequency) f corresponding to this period is outer is the rotation frequency f of the rotating device 100 r , and the rolling element diameter d, pitch circle diameter D, contact angle α, and rolling pair number Z of the bearing 104x are used to give the following formula (7).

[0242]

number

[0243] Furthermore, if the rolling element 1043 has damage such as scratches or peeling, the rolling element 1043 rotates in accordance with the rotation of the rotating shaft 103, causing the damaged portion of the rolling element 1043 to pass through the outer ring 1041 and the inner ring 1042. This causes vibration, which in turn causes fluctuations in the rotation speed of the rotating device 100. The period in which the damaged portion of the rolling element 1043 passes through the outer ring 1041 and the inner ring 1042, i.e., the period in which fluctuations in the rotation speed of the rotating device 100 occur due to damage to the rolling element 1043, is determined by the rotation speed of the rotating device 100 and the specifications related to the structure of the bearing 104. The frequency (rolling element scratch passing frequency) f corresponding to this period is ball is the rotation frequency f of the rotating device 100 r , and the rolling element diameter d, pitch circle diameter D, contact angle α, and rolling pair number Z of the bearing 104x are used to give the following formula (8).

[0244]

number

[0245] Furthermore, if the cage 1044 has damage such as scratches or defects, the cage 1044 rotates (revolves) in accordance with the rotation of the rotating shaft 103, causing the rolling elements 1043 to pass over the damaged portion of the cage. This causes vibration, which in turn causes fluctuations in the rotation speed of the rotating device 100. The cycle in which the damaged portion of the cage 1044 passes over the rolling elements 1043, i.e., the cycle in which fluctuations in the rotation speed of the rotating device 100 occur due to damage to the cage 1044, is determined by the rotation speed of the rotating device 100 and the specifications of the structure of the bearing 104. The frequency (cage scratch passing frequency) f corresponding to this cycle is cage is the rotation frequency f of the rotating device 100 r , and the rolling element diameter d, pitch circle diameter D, contact angle α, and rolling logarithm number Z of the bearing 104x, are used to give the following formula (9).

[0246]

number

[0247] Below, the inner ring defect passing frequency f inner , outer ring flaw passing frequency f outer , rolling element flaw passing frequency f ball , and cage flaw passing frequency f cage are sometimes collectively referred to as the "flaw passage frequency."

[0248] When damage occurs on the contact surface of the inner ring 1042 with the rolling element 1043, the rotation speed of the rotating device 100 increases by an inner ring damage passing frequency f inner For example, as shown in FIGS. 20A and 20B, in this example, a peak may occur at the n-fold component (n: positive integer) of the inner flaw passing frequency f inner Peaks appear in the single component 21 and double component 22.

[0249] In addition, when damage occurs on the contact surface of the inner ring 1042 with the rolling element 1043, the rotation speed of the rotating device 100 changes as follows: inner The rotation frequency f r For example, as shown in FIGS. 20A and 20B, in this example, a peak may occur in the upper sideband component or the lower sideband component that is shifted by an amount of inner 1 times the rotation frequency f r Peaks appear in the upper sideband component 23 and the lower sideband component 24, which are shifted by .

[0250] In addition, when damage occurs on the contact surface of the outer ring 1041 with the rolling element 1043, the outer ring damage passing frequency f outer For example, as shown in FIGS. 20A and 20C, in this example, a peak may occur at the n-th component of the outer ring flaw passing frequency f outer A peak occurs at 25, which is twice the normal component.

[0251] In addition, when damage occurs on the contact surface of the outer ring 1041 with the rolling element 1043, the outer ring damage passing frequency f outer The rotation frequency f r For example, as shown in FIGS. 20A and 20C, in this example, the outer ring defect passing frequency f outer The double component 25 of the rotation frequency f r Peaks appear in the upper sideband component 26 and the lower sideband component 27, which are shifted by .gtoreq.1.

[0252] Furthermore, when damage occurs to the rolling element 1043, the rotation speed of the rotating device 100 decreases by a rolling element damage passing frequency f ball In addition, when damage occurs to the rolling element 1043, a peak may appear at the n-th component of the rolling element damage passing frequency f ball The rotation frequency f r In some cases, a peak may occur in the upper sideband component or the lower sideband component that is shifted by the amount of the shift.

[0253] In addition, when damage occurs to the cage 1044, a peak may occur in the n - fold component of the cage damage passing frequency f cage of the rotational speed of the rotating device 100. Also, when damage occurs to the cage 1044, based on the n - fold component of the cage damage passing frequency f cage , peaks may occur in the upper sideband component or the lower sideband component shifted by the amount of the rotational frequency f r .

[0254] Thus, when damage occurs to the bearing 104x, the influence of the damage appears in the n - fold component of the damage passing frequency and the sideband component shifted by the amount of the rotational frequency f r based on the n - fold component of the damage passing frequency. Therefore, for example, the feature quantity acquisition unit 2004 extracts at least one of the n - fold component of the damage passing frequency in the range of N1≦n≦N2 as the monitoring frequency and the sideband component shifted by the amount of the rotational frequency f r from the measurement data of the rotational speed. The constants N1 and N2 are positive integers with the relationship N1 < N2. Thereby, the monitoring unit 2006 can perform monitoring regarding an abnormality associated with the damage of the bearing 104 based on the feature quantity data including the feature quantities of the components of the rotational speed data of the rotating device 100 output from the feature quantity acquisition unit 2004 at the monitoring frequency.

[0255] [Functional Configuration for Monitoring Abnormalities of Bearings] Next, referring to FIG. 21, the functional configuration for monitoring abnormalities of the bearing 104x will be described.

[0256] FIG. 21 is a functional block diagram showing an example of the functional configuration of the feature quantity acquisition unit 2004.

[0257] As shown in FIG. 21, the feature quantity acquisition unit 2004 includes an average rotational speed calculation unit 2004A, a monitoring frequency calculation unit 2004B, a frequency analysis unit 2004C, and a monitoring frequency component extraction unit 2004D.

[0258] The average rotational speed calculation unit 2004A calculates the average rotational speed of the rotating device 100 during that period based on the rotational speed data for a certain period acquired by the acquisition unit 2001.

[0259] The monitoring frequency calculation unit 2004B calculates a frequency to be monitored (monitoring frequency) for the rotation speed of the rotating device 100 in order to diagnose the state of the bearing 104.

[0260] Specifically, the monitoring frequency calculation unit 2004B calculates the rotation frequency f from the average rotation speed of the rotating device 100 for a certain period calculated by the average rotation speed calculation unit 2004A. r Then, the monitoring frequency calculation unit 2004B calculates the calculated rotation frequency f r Based on the bearing specification information, the above equations (6) to (9) are used to determine the n-fold component of the flaw passing frequency and the rotational frequency f r The sideband components shifted by the amount of

[0261] The monitoring frequency calculation unit 2004B calculates, for example, the inner defect passing frequency f inner , outer ring flaw passing frequency f outer , rolling element flaw passing frequency f ball , and cage flaw passing frequency f cage The monitor frequency calculation unit 2004B calculates the monitor frequency for all of the inner ring defect passing frequency f inner , outer ring flaw passing frequency f outer , rolling element flaw passing frequency f ball , and cage flaw passing frequency f cage Alternatively, the monitoring frequencies for only a portion of the frequencies may be calculated.

[0262] Furthermore, when the bearing specification information of the bearings 104a and 104b is different from each other, the monitor frequency calculation unit 2004B may calculate a monitor frequency for each of the bearings 104a and 104b, or may calculate a monitor frequency for only one of the bearings.

[0263] The frequency analysis unit 2004C performs frequency analysis on the rotation speed data for a certain period acquired by the acquisition unit 2001, and outputs, as the analysis result, data on the frequency spectrum distribution of the rotation speed of the rotating device 100. For example, the frequency analysis unit 2004C performs FFT analysis on the rotation speed data for a certain period, and outputs, as the analysis result, data on the frequency spectrum distribution of the rotation speed of the rotating device 100.

[0264] The monitoring frequency component extraction unit 2004D extracts monitoring frequency components from the frequency spectrum distribution of the analysis result of the frequency analysis unit 2004C. Then, the monitoring frequency component extraction unit 2004D acquires the feature amount of the extracted monitoring frequency components (for example, the amplitude value A or the sum SUM of the amplitude values ​​A of multiple monitoring frequencies).

[0265] In this way, in this example, the monitoring device 200 can monitor the state of the bearing 104 based on the rotation speed data of the rotating device 100. This eliminates the need to add a dedicated vibration sensor or the like for diagnosing the state of the bearing 104, and allows the measurement device 120 used for controlling the rotating device 100 to be used in combination. Therefore, the monitoring system 1 This allows for easy diagnosis of the condition of the bearing 104, thereby reducing the cost for the diagnostic function.

[0266] Furthermore, since the rotational speed of the rotating device 100 fluctuates each time vibrations occur due to an abnormality in the bearing 104, in this example, the monitoring system 1 can achieve a level of detection sensitivity for changes in the condition of the bearing 104 similar to that achieved when a vibration sensor is used.

[0267] Furthermore, for example, when a vibration sensor is used to monitor the condition of the bearing 104, the accuracy of the monitoring may be reduced due to the influence of external vibrations and resonance. Furthermore, while there is an existing technology that uses the electrical characteristic quantities of the rotating device 100 to diagnose the condition of the bearing 104, the accuracy of the monitoring may be reduced due to the influence of inverter current harmonic noise, etc.

[0268] In contrast, in this example, the monitoring system 1 is not affected by disturbance vibrations, resonance, or harmonic noise, and can monitor the state of the bearing 104 more appropriately.

[0269] Furthermore, for example, when monitoring the condition of the bearing 104 using the electrical characteristics of the rotating device 100, it is necessary to set monitoring parameters and monitoring criteria (e.g., thresholds) according to the electrical characteristics of the rotating device 100, which may complicate the algorithm.

[0270] In contrast, in this example, it is only necessary to consider the specifications related to the structure of the bearing 104, and the setting of diagnostic criteria can be simplified. Therefore, from this perspective as well, the monitoring system 1 can easily diagnose the state of the bearing 104.

[0271] [Processing operation of the monitoring frequency component extraction unit] Next, the processing operation of the feature amount acquiring unit 2004 will be described with reference to Fig. 22. Specifically, the processing operation of the feature amount acquiring unit 2004 in Fig. 21 will be described.

[0272] FIG. 22 is a flowchart showing an example of the process performed by the feature amount acquisition unit 2004.

[0273] This flowchart is executed, for example, at predetermined processing intervals while the rotation device 100 is in operation.

[0274] As shown in FIG. 22, in step S802, the acquiring unit 2001 acquires rotation speed data of the rotating device 100 based on the latest measurement signal 130 acquired from the measuring device 120 over a certain period of time.

[0275] When the process of step S802 is completed, the monitoring device 200 proceeds to step S804.

[0276] In step S804, average rotation speed calculation unit 2004A calculates the average rotation speed of rotation device 100 for the latest fixed period based on the rotation speed data for the latest fixed period acquired in the process of step S802.

[0277] When the process of step S804 is completed, the monitoring device 200 proceeds to step S806.

[0278] In step S806, the monitor frequency calculation unit 2004B calculates a monitor frequency based on the calculation result of the process in step S804 and the bearing specification information in the storage unit 2002.

[0279] When the process of step S806 is completed, the monitoring device 200 proceeds to step S808.

[0280] In step S808, the frequency analysis unit 2004C performs frequency analysis on the latest rotation speed data for a certain period acquired in step S802, and outputs frequency spectrum data.

[0281] When the process of step S808 is completed, the monitoring device 200 proceeds to step S810.

[0282] In step S810, the monitoring frequency component extraction unit 2004D extracts monitoring frequency components from the frequency spectrum distribution data of the analysis result in step S808 based on the calculation result in step S806, and acquires the feature amount of the extracted monitoring frequency components.

[0283] When the process of step S810 is completed, the monitoring device 200 proceeds to step S812.

[0284] In step S812, the monitor unit 2006 outputs data (feature amount data) representing the feature amount acquired in step S810.

[0285] When the process of step S812 is completed, the monitoring device 200 ends the process of this flowchart.

[0286] [Other embodiments] Next, another embodiment will be described.

[0287] The above-described embodiment may be modified or changed as appropriate. Hereinafter, examples of modifications or changes to the above-described embodiment will be referred to as "modifications" for convenience.

[0288] For example, in the above-described embodiment, the monitoring unit 2006 may monitor the state of the rotating device 100 based on the maximum value, average value, etc. of the amplitude value A instead of the sum SUM of the amplitude values ​​A of the monitoring frequency components of the rotation speed of the rotating device 100.

[0289] In addition, in the above-described embodiment and its modifications, the functions of the external device 300 may be integrated into the monitoring device 200.

[0290] Furthermore, in the above-described embodiment and its variations, the monitoring device 200 may extract the monitoring frequency components of the operating state data of the rotating device 100 by using a filter that extracts the monitoring frequency components of the operating state data of the rotating device 100 instead of frequency analysis.

[0291] Furthermore, in the above-described embodiments and examples of variations and modifications thereof, the monitoring device 200 may monitor the state of the rotating device 100 using a known analysis method such as waveform counting based on time-series waveform data instead of the frequency components of the operating state data of the rotating device 100.

[0292] Furthermore, in the above-described embodiment and its variations and modifications, the monitoring device 200 may monitor the state of another device instead of or in addition to monitoring the state of the rotating device 100. For example, the monitoring device 200 monitors the state of the bearings of the other device 110.

[0293] Furthermore, in the above-described embodiment and examples of variations and modifications thereof, the monitoring device 200 or the external device 300 may monitor changes in the mechanical characteristics of the rotation device 100 from a state corresponding to reference data when the rotation device 100 is implemented in an operable state, based on the frequency characteristics of the amplification ratio K. This is because, as described above, changes in the frequency characteristics of the amplification ratio K correlate with changes in the moment of inertia J and the viscosity coefficient B of the rotation device 100. For example, the monitoring device 200 or the external device 300 calculates changes in the moment of inertia J and the viscosity coefficient B using a known analytical method based on the frequency characteristics of the transfer function G(s) and its gain, and the frequency characteristics of the amplification ratio K.

[0294] [Effect] Next, the operation of the monitoring device, monitoring method, and program according to this embodiment will be described.

[0295] In a first aspect of this embodiment, a monitoring device monitors the state of a rotating device based on first reference data representing the operating state of the rotating device under predetermined operating conditions, and first measurement data representing the operating state of the rotating device under the predetermined operating conditions, measured during a test run in an operational state of the rotating device or during initial operation after the start of operation. The predetermined operating conditions may be the operating conditions under which the rotating device is operated. The monitoring device is, for example, the monitoring device 200 described above. The rotating device is, for example, the rotating device 100 described above. The first reference data is, for example, the non-occurrence reference data described above. The first measurement data is, for example, the initial data described above.

[0296] In addition, in a first aspect of this embodiment, a monitoring method may be executed in which a monitoring device monitors the state of the rotating device based on first reference data representing the operating state of the rotating device under specified operating conditions, and first measurement data representing the operating state of the rotating device under the specified operating conditions measured during trial operation or initial operation in an operational state of the rotating device.

[0297] In addition, in a first aspect of the present embodiment, a program may be employed that causes an information processing device to monitor the state of the rotation device based on first reference data representing the operating state of the rotation device under predetermined operating conditions and first measurement data representing the operating state of the rotation device under the predetermined operating conditions measured during a test run or initial operation in an operational state of the rotation device. The information processing device is, for example, the above-mentioned monitoring device 200.

[0298] When a rotating device is implemented in an operational state (for example, when it is installed at a site where it will be used and mechanically connected to a load device), its mechanical characteristics may change due to the influence of other mechanically connected devices, the influence of installation conditions, and the like. Therefore, for example, if pre-defined monitoring conditions for monitoring the state of the rotating device are used as is, the state of the rotating device may not be properly monitored due to the influence of changes in the mechanical characteristics. Furthermore, for example, it is desirable to understand changes in the mechanical characteristics of the rotating device as the state of the rotating device.

[0299] In response to this, a monitoring device or an information processing device (hereinafter, "monitoring device, etc.") can use the first reference data and the first measurement data after the rotating device is implemented in an operable state as data representing the operating state of the rotating device under the same predetermined operating conditions. Therefore, the monitoring device, etc. can monitor the state of the rotating device and monitor the mechanical characteristics after the change, taking into account changes in the mechanical characteristics associated with the implementation of the rotating device in an operable state, using the state corresponding to the first reference data as a reference. Therefore, the monitoring device, etc. can appropriately monitor the state of the rotating device.

[0300] In addition, in a second aspect of this embodiment, based on the first aspect described above, a monitoring device or the like may monitor the state of the rotating device based on the comparison result between the first reference data and the first measurement data.

[0301] This allows the monitoring device etc. to grasp changes in the data representing the operating state of the rotating device due to changes in the mechanical characteristics based on the comparison result between the first reference data and the first measurement data, and therefore the monitoring device etc. can appropriately monitor the state of the rotating device by taking into account the changes in the data representing the operating state of the rotating device.

[0302] In a third aspect of this embodiment, based on the first or second aspect described above, a monitoring device or the like may acquire second measurement data that is measured after the measurement of the first measurement data and represents the operating state of the rotating device under the predetermined operating conditions, and monitor the state of the rotating device based on the acquired second measurement data, the first reference data, and the first measurement data. The second measurement data may be acquired after acquisition of initial data, and may be a measurement data of the rotating device 100.

[0303] This allows the monitoring device or the like to take into account changes in the mechanical characteristics of the rotating device that accompany implementation of the rotating device into an operational state based on the first reference data and the first measurement data when monitoring the state of the rotating device based on the second measurement data, thereby allowing the monitoring device or the like to appropriately monitor the state of the rotating device based on the second measurement data.

[0304] In a fourth aspect of this embodiment, based on the third aspect described above, a monitoring device or the like may acquire an amplitude ratio of the same frequency component between the first reference data and the first measurement data, and monitor the state of the rotating device based on the acquired amplitude ratio and the frequency component of the second measurement data. The amplitude ratio is, for example, the amplification ratio K or correction gain G described above.

[0305] This allows the monitoring device or the like to take into account the amplitude ratio of the same frequency component in the first reference data and the first measurement data when monitoring the condition of the rotating device based on the frequency component of the second measurement data, thereby enabling the monitoring device or the like to appropriately monitor the condition of the rotating device based on the frequency component of the second measurement data.

[0306] Furthermore, in a fifth aspect of this embodiment, based on the fourth aspect described above, a monitoring device or the like may acquire the amplitude ratios for a plurality of frequency components to acquire frequency characteristics of the amplitude ratios, and monitor the state of the rotating device based on the frequency characteristics of the acquired amplitude ratios and the frequency components of the second measurement data.

[0307] As a result, when monitoring the condition of the rotating device based on the frequency component of the second measurement data, the monitoring device or the like can extract an amplitude ratio that matches the frequency component of the monitored object from the frequency characteristics of the amplitude ratio of the same frequency component of the first reference data and the first measurement data. Therefore, the monitoring device or the like can more appropriately monitor the condition of the rotating device by using the amplitude ratio of the first reference data and the first measurement data that matches the frequency component of the second measurement data.

[0308] Furthermore, in a sixth aspect of this embodiment, based on the fourth or fifth aspect described above, the monitoring device or the like may correct the frequency component of the second measurement data based on the acquired amplitude ratio, and monitor the state of the rotating device using predefined monitoring conditions based on the frequency component of the second measurement data after the correction.

[0309] This allows the monitoring device etc. to correct the frequency component of the second measurement data in accordance with changes in the mechanical characteristics of the rotating device that accompany the implementation of the rotating device into an operational state, and therefore the monitoring device etc. can appropriately monitor the state of the rotating device by using the predefined monitoring conditions.

[0310] In a seventh aspect of this embodiment, based on the sixth aspect described above, the monitoring conditions may include a condition regarding a relationship between a predetermined monitoring reference value for a frequency component of the data representing the operating state of the rotating device and the frequency component of the second measurement data. The monitoring device or the like may monitor the state of the rotating device using the monitoring conditions based on the frequency component of the second measurement data after correction.

[0311] This allows the monitoring device or the like to appropriately monitor the state of the rotating device using a predetermined reference value for monitoring based on the corrected second measurement data.

[0312] Furthermore, in an eighth aspect of this embodiment, based on the fourth or fifth aspect described above, the monitoring device etc. may correct the monitoring conditions for the state of the rotating device based on the acquired amplitude ratio, and monitor the state of the rotating device using the corrected monitoring conditions based on the frequency component of the second measurement data.

[0313] This allows the monitoring device etc. to correct the monitoring conditions in accordance with changes in the mechanical characteristics of the rotating device that accompany the implementation of the rotating device into an operational state, and therefore the monitoring device etc. can appropriately monitor the state of the rotating device using the corrected monitoring conditions based on the second measurement data.

[0314] In a ninth aspect of this embodiment, based on the eighth aspect described above, the monitoring conditions may include a condition regarding a relationship between a monitoring reference value, which is predefined for a frequency component of data representing the operating state of the rotating device, and a frequency component of the second measurement data. The monitoring device or the like may correct the reference value based on the acquired amplitude ratio, and monitor the state of the rotating device based on the second measurement data using the monitoring conditions reflecting the corrected reference value.

[0315] This allows the monitoring device etc. to correct the predetermined monitoring reference value in accordance with changes in the mechanical characteristics of the rotating device that accompany the implementation of the rotating device into an operational state, and therefore the monitoring device etc. can appropriately monitor the state of the rotating device using the corrected monitoring reference value based on the second measurement data.

[0316] In a tenth aspect of the present embodiment, based on any one of the sixth to ninth aspects described above, the first reference data may represent the operating state of the rotating device when a specific state to be monitored does not occur, and the monitoring condition may be defined in advance based on the first reference data and second reference data representing the operating state of the rotating device when the specific state occurs.

[0317] As a result, when the monitoring device or the like monitors the state of the rotating device based on the second measurement data using monitoring conditions predefined based on the first reference data, the monitoring device or the like can correct the second measurement data or monitoring conditions in accordance with changes in the mechanical characteristics of the rotating device based on the state corresponding to the first reference data, thereby enabling the monitoring device or the like to more appropriately monitor the state of the rotating device.

[0318] Furthermore, in an eleventh aspect of this embodiment, based on the second aspect described above, a monitoring device or the like may monitor changes in the mechanical characteristics of the rotating device from a state corresponding to the first reference data as the rotating device is implemented into an operational state, based on the comparison results between the first reference data and the first measurement data.

[0319] This allows the monitoring device or the like to monitor changes in the mechanical characteristics of the rotating device as it is implemented into an operational state.

[0320] In a twelfth aspect of this embodiment, based on the eleventh aspect described above, the monitoring device or the like may acquire, for a plurality of frequency components, an amplitude ratio of the same frequency component in the first reference data and the first measurement data to acquire frequency characteristics of the amplitude ratio, and monitor changes in mechanical characteristics of the rotating device from a state corresponding to the first reference data associated with the mounting of the rotating device based on the frequency characteristics of the acquired amplitude ratio. The state corresponding to the first reference data associated with the mounting of the rotating device is, for example, a state of the rotating device at the time of shipment or a state corresponding to an installation condition assumed by the computer simulation described above.

[0321] This allows the monitoring device or the like to monitor changes in the mechanical characteristics of the rotating device as it is implemented into an operational state.

[0322] Although the embodiments have been described in detail above, the present disclosure is not limited to such specific embodiments, and various modifications and variations are possible within the scope of the gist described in the claims. [Explanation of symbols]

[0323] 1. Surveillance System 100 Rotating Device 103 Rotation axis 103a, 103b Rotating shaft 104 Bearings 104a, 104b Bearings 110 Other devices 120 Measuring Equipment 200 Monitoring equipment 300 External device 1041 outer ring 1042 Inner circle 1043 Rolling elements 1044 Cage 2001 Acquisition Department 2002 Memory section 2003 Monitoring information generation unit 2003A Reference Data Acquisition Unit 2003B Storage 2003C Initial Data Acquisition Section 2003D storage section 2003E Monitoring Standard Setting Department 2003F Correction gain calculation section 2004 Feature Acquisition Unit 2004A Average rotation speed calculation unit 2004B Monitoring frequency calculation unit 2004C Frequency Analysis Section 2004D Monitoring frequency component extraction unit 2005 Correction Department 2006 Monitoring Department 2007 Notification Department

Claims

1. monitoring a state of the rotating device based on first reference data representing an operating state of the rotating device under predetermined operating conditions and first measurement data representing the operating state of the rotating device under the predetermined operating conditions measured during a trial run or initial operation in an operational state of the rotating device; monitoring equipment.

2. monitoring a state of the rotating device based on a comparison result between the first reference data and the first measurement data; The monitoring device of claim 1 .

3. acquiring second measurement data that is measured after the measurement of the first measurement data and that represents the operating state of the rotating device under the predetermined operating conditions, and monitoring the state of the rotating device based on the acquired second measurement data, the first reference data, and the first measurement data. The monitoring device of claim 1 .

4. acquiring an amplitude ratio of the same frequency component between the first reference data and the first measurement data, and monitoring a state of the rotating device based on the acquired amplitude ratio and the frequency component of the second measurement data. The monitoring device according to claim 3.

5. acquiring the amplitude ratios for a plurality of frequency components to acquire frequency characteristics of the amplitude ratios, and monitoring the state of the rotating device based on the acquired frequency characteristics of the amplitude ratios and the frequency components of the second measurement data. The monitoring device according to claim 4.

6. correcting a frequency component of the second measurement data based on the acquired amplitude ratio, and monitoring a state of the rotating device using a predetermined monitoring condition based on the frequency component of the second measurement data after the correction. The monitoring device according to claim 4.

7. the monitoring condition includes a condition regarding a relationship between a monitoring reference value that is predefined for a frequency component of the data representing the operating state of the rotating device and a frequency component of the second measurement data, monitoring the state of the rotating device using the monitoring conditions based on the frequency components of the second measurement data after the correction; The monitoring device according to claim 6.

8. correcting a monitoring condition for the state of the rotating device based on the acquired amplitude ratio, and monitoring the state of the rotating device using the corrected monitoring condition based on the frequency component of the second measurement data. The monitoring device according to claim 4.

9. the monitoring condition includes a condition regarding a relationship between a monitoring reference value that is predefined for a frequency component of the data representing the operating state of the rotating device and a frequency component of the second measurement data, correcting the reference value based on the acquired amplitude ratio, and monitoring the state of the rotating device using the monitoring conditions reflecting the corrected reference value based on the second measurement data. The monitoring device according to claim 8.

10. the first reference data represents the operating state of the rotating device when a specific state to be monitored does not occur; the monitoring condition is defined in advance based on the first reference data and second reference data representing the operating state of the rotating device when the specific state occurs; A monitoring device according to any one of claims 6 to 9.

11. monitoring a change in a mechanical characteristic of the rotating device from a state corresponding to the first reference data, which occurs when the rotating device is implemented into an operational state, based on a comparison result between the first reference data and the first measurement data; The monitoring device according to claim 2 .

12. acquiring an amplitude ratio of the same frequency component of the first reference data and the first measurement data for a plurality of frequency components, thereby acquiring a frequency characteristic of the amplitude ratio, and monitoring a change in a mechanical characteristic of the rotating device from a state corresponding to the first reference data, which is caused by the implementation of the rotating device, based on the acquired frequency characteristic of the amplitude ratio; The monitoring device of claim 11.

13. a monitoring device monitors a state of the rotating device based on first reference data representing an operating state of the rotating device under predetermined operating conditions and first measurement data representing the operating state of the rotating device under the predetermined operating conditions measured during a trial run or initial operation in an operational state of the rotating device; Monitoring method.

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