Condition diagnosis device and condition diagnosis method

Abstract

To provide a state diagnostic device and state diagnostic method, which enable appropriate diagnosis regardless of the operating state of a rotating device.SOLUTION: A state diagnostic method comprises: sequentially accumulating a second physical quantity (vibration value Gd) when a first physical quantity (vehicle speed Vd) corresponding to rotation of a rotating device, or a third physical quantity (axle rpm ω) computed according to the first physical quantity, is within a given range; and diagnosing a state of a diagnosis target of the rotating device on the basis of the series of second physical quantity when the number of samples of the second physical quantity reaches a given value.SELECTED DRAWING: Figure 5

Description

[Technical field]

[0001] The present invention relates to a condition diagnosis device and a condition diagnosis method. [Background technology]

[0002] Conventionally, there has been disclosed an abnormality diagnosis device that sets a diagnosis threshold for a characteristic frequency component when a rotating device is rotating within a predetermined rotation speed range, and performs an abnormality diagnosis for a part to be diagnosed (for example, Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] JP 2017-32467 A Summary of the Invention [Problem to be solved by the invention]

[0004] However, in the mode of reporting the occurrence of an abnormality, the process leading up to the occurrence of the abnormality is unknown, making it difficult to operate in CBM (Condition Based Maintenance). In addition, in the above-mentioned conventional technology, it is necessary to maintain rotation within a predetermined rotation speed range for a certain period of time in order to extract characteristic frequency components as a diagnostic condition. If the vibration value detection period is extended to ensure diagnostic reliability, it may become difficult to establish the diagnostic condition depending on the operating state of the rotating device, and appropriate diagnosis may not be possible.

[0005] The present invention has been made in consideration of the above-mentioned problems, and has an object to provide a condition diagnosis device and a condition diagnosis method that are capable of performing appropriate diagnosis regardless of the operating state of a rotating device. [Means for solving the problem]

[0006] In order to achieve the above-mentioned object, a condition diagnosis device according to one embodiment of the present invention is a condition diagnosis device that receives information indicating a first physical quantity corresponding to rotation of a rotating device and information indicating a second physical quantity corresponding to vibration of the rotating device, and diagnoses a condition of an object to be diagnosed in the rotating device based on the first physical quantity and the second physical quantity, and includes a memory unit that sequentially accumulates a second physical quantity when the first physical quantity or a third physical quantity calculated based on the first physical quantity is within a predetermined range, and a diagnosis unit that diagnoses the condition of the object to be diagnosed based on the series of second physical quantities accumulated in the memory unit when the number of samples of the second physical quantity accumulated in the memory unit reaches a predetermined value.

[0007] This makes it possible to appropriately diagnose the part to be diagnosed regardless of the operating state of the rotating device.

[0008] As a desirable aspect of the condition diagnosis device, it is preferable that the device further comprises a notification unit that outputs a diagnosis result of the diagnosis object in accordance with the number of times that the diagnosis object has been determined to be abnormal based on the diagnosis result of the diagnosis unit.

[0009] This makes it possible to output diagnostic results according to the number of times the diagnostic target has been determined to be abnormal, enabling operation suitable for maintenance management using CBM (Condition Based Maintenance).

[0010] In addition, as a desirable aspect of the condition diagnosis device, it is preferable that the notification unit is set with a plurality of abnormality determination count thresholds each having a different value for the number of abnormality determinations of the object to be diagnosed, and outputs a plurality of stages of diagnosis results according to the number of abnormality determinations of the object to be diagnosed.

[0011] This makes it possible to set the maintenance priority according to the number of times the diagnosis target has been determined to be abnormal.

[0012] Furthermore, as a desirable aspect of the condition diagnosis device, it is preferable that the condition diagnosis device is provided on a railway vehicle, wherein the first physical quantity is the vehicle speed of the railway vehicle, the second physical quantity is a vibration value of the rotating device, the memory unit sequentially accumulates the vibration values ​​when the vehicle speed or the axle rotation speed of the rotating device calculated as the third physical quantity based on the vehicle speed is within a predetermined range, and the diagnosis unit diagnoses the condition of the object to be diagnosed based on the series of vibration values ​​accumulated in the memory unit when the number of samples of the vibration values ​​accumulated in the memory unit reaches a predetermined value.

[0013] This makes it possible to appropriately diagnose the target parts of the rotating device without relying on the operation plan, operation curve, etc. of the railway vehicle.

[0014] In addition, as a desirable aspect of the condition diagnosis device, it is preferable that the device further comprises a determination unit that determines whether or not a first condition is satisfied in which a value of the vehicle speed or the axle rotation speed acquired in a current data sampling cycle and a value acquired in a previous data sampling cycle are both equal to or greater than a predetermined first threshold value and equal to or less than a second threshold value that is greater than the first threshold value, and a vibration measurement unit that stores the vibration value of the rotating device acquired in the current data sampling cycle in the memory unit when the first condition is satisfied.

[0015] This reduces sudden power spectra contained in the acquired vibration value group and suppresses the influence of disturbance factors, thereby improving the accuracy of diagnosis of the diagnosis target.

[0016] In addition, as a desirable aspect of the condition diagnosis device, it is preferable that the device further includes a feature frequency component extraction unit that extracts a feature frequency component of the diagnosis object based on the series of vibration values ​​stored in the memory unit, and the diagnosis unit outputs an abnormality determination flag for the diagnosis object when the feature frequency component is equal to or greater than a predetermined diagnosis threshold value.

[0017] This makes it possible to detect abnormal trends in the subject of diagnosis.

[0018] In addition, as a desirable aspect of the condition diagnosis device, it is preferable that the feature frequency component extraction unit determines whether or not a second condition is satisfied in which the number of samples of vibration values ​​stored in the memory unit has reached a predetermined value, and extracts the feature frequency components of the diagnosis object if the second condition is satisfied.

[0019] This, in combination with the above-mentioned first condition, makes it possible to extract characteristic frequency components using discontinuous vibration values, making it easier to establish diagnostic conditions.

[0020] In a preferred embodiment of the condition diagnosis device, the characteristic frequency component extraction section performs an order analysis process on the series of vibration values ​​stored in the storage section.

[0021] This makes it possible to extract the characteristic frequency components of the diagnosis target.

[0022] In a preferred embodiment of the condition diagnosis device, the characteristic frequency component extraction section performs a fast Fourier transform process as the order analysis process.

[0023] This averages out sudden power spectra due to disturbance elements.

[0024] In addition, as a desirable aspect of the condition diagnosis device, it is preferable that the device further comprises a notification unit that outputs a diagnosis result of the diagnosis target in accordance with the appearance frequency of the abnormality determination flag.

[0025] This makes it possible to output diagnostic results according to the frequency of occurrence of abnormality determination flags, enabling operation suitable for maintenance management using CBM (Condition Based Maintenance).

[0026] In addition, as a desirable aspect of the condition diagnosis device, it is preferable that the notification unit is configured to set a plurality of abnormality determination count thresholds, each having a different value, for the number of abnormality determination flags, and to output a plurality of stages of diagnosis results according to the number of abnormality determination flags.

[0027] This makes it possible to set the maintenance priority according to the number of abnormality determination flags.

[0028] Furthermore, as a desirable aspect of the condition diagnosis device, it is preferable that the notification unit sets a first abnormality judgment count threshold and a second abnormality judgment count threshold smaller than the first abnormality judgment count threshold as the multiple abnormality judgment count thresholds, outputs a first diagnosis result when the number of the abnormality judgment flags is equal to or greater than the first abnormality judgment count threshold, and outputs a second diagnosis result different from the first diagnosis result when the number of the abnormality judgment flags is equal to or greater than the second abnormality judgment count threshold and is less than the first abnormality judgment count threshold, and that the first diagnosis result has a higher maintenance priority for the rotating device than the second diagnosis result.

[0029] This makes it possible to output diagnostic results according to the maintenance priority of the diagnostic target parts of the rotating device, enabling appropriate maintenance and operation planning for the rotating device.

[0030] A condition diagnosis method according to one aspect of the present invention includes the steps of inputting a first physical quantity corresponding to rotation of a rotating device and a second physical quantity corresponding to vibration of the rotating device, and determining whether the first physical quantity or a third physical quantity calculated based on the first physical quantity is within a predetermined range, accumulating the second physical quantity when the first physical quantity or the third physical quantity calculated based on the first physical quantity is within the predetermined range, and diagnosing the condition of a diagnosis target of the rotating device based on the accumulated series of second quantities when the number of samples of the accumulated second physical quantity reaches a predetermined value.

[0031] This makes it possible to appropriately diagnose the part to be diagnosed regardless of the operating state of the rotating device.

[0032] In addition, as a desirable aspect of the condition diagnosis method, it is preferable that the method further comprises a step of outputting a diagnosis result of the diagnosis object in accordance with the number of times that the diagnosis object has been determined to be abnormal.

[0033] This makes it possible to output diagnostic results according to the number of times the diagnostic target has been determined to be abnormal, enabling operation suitable for maintenance management using CBM (Condition Based Maintenance).

[0034] In addition, as a desirable aspect of the condition diagnosis method, it is preferable to set a plurality of abnormality determination count thresholds each having a different value for the number of abnormality determinations of the diagnosis object, and to output a plurality of stages of diagnosis results according to the number of abnormality determinations of the diagnosis object.

[0035] This makes it possible to set the maintenance priority according to the number of times the diagnosis target has been determined to be abnormal.

[0036] Furthermore, as a desirable aspect of the condition diagnosis method, a first abnormality judgment count threshold and a second abnormality judgment count threshold smaller than the first abnormality judgment count threshold are set as the multiple abnormality judgment count thresholds, a first diagnosis result is output when the abnormality judgment count is equal to or greater than the first abnormality judgment count threshold, and a second diagnosis result different from the first diagnosis result is output when the abnormality judgment count is equal to or greater than the second abnormality judgment count threshold and less than the first abnormality judgment count threshold, and it is preferable that the first diagnosis result has a higher maintenance priority for the rotating device than the second diagnosis result.

[0037] This makes it possible to output diagnostic results according to the maintenance priority of the diagnostic target parts of the rotating device, enabling appropriate maintenance and operation planning for the rotating device. [Brief description of the drawings]

[0038] [Figure 1A] FIG. 1A is a schematic diagram showing a schematic configuration of a railway vehicle to which a condition diagnosis device according to an embodiment is applied. [Figure 1B] FIG. 1B is a schematic diagram of the railcar shown in FIG. 1A as viewed from the direction indicated by the arrow. [Diagram 2] FIG. 2 is an axial cross-sectional view showing a detailed configuration of a main part of the rotating device. [Diagram 3]FIG. 3 is a diagram illustrating an example of a block configuration of the condition diagnosis device according to the embodiment. [Figure 4] FIG. 4 is a block diagram showing an example of a hardware configuration of the controller. [Diagram 5] FIG. 5 is a block diagram illustrating an example of a functional configuration of the controller. [Figure 6] FIG. 6 is a diagram showing an example of how vibration values ​​are acquired in the condition diagnosis device according to the embodiment. [Figure 7] FIG. 7 is a diagram showing a comparative example to the example of acquiring vibration values ​​in the condition diagnostic device according to the embodiment shown in FIG. [Figure 8] FIG. 8 is a flowchart showing an example of a diagnostic processing procedure of the condition diagnosis device according to the embodiment. [Figure 9] FIG. 9 is a flowchart illustrating an example of a procedure for determining whether a first condition is satisfied in the diagnosis process. [Figure 10] FIG. 10 is a flowchart illustrating an example of a procedure for determining whether the second condition is satisfied in the diagnosis process. [Figure 11] FIG. 11 is a flowchart illustrating an example of a procedure for determining an abnormality in a diagnosis target in a diagnosis process. [Figure 12] FIG. 12 is a flowchart illustrating an example of a notification process procedure of the condition diagnosis device according to the embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0039] Hereinafter, a mode for carrying out the invention (hereinafter, referred to as an embodiment) will be described in detail with reference to the drawings. Note that the present invention is not limited to the following embodiment. Furthermore, the components in the following embodiment include those that a person skilled in the art can easily imagine, those that are substantially the same, and those that are within the so-called equivalent range. Furthermore, the components disclosed in the following embodiment can be appropriately combined.

[0040] Fig. 1A is a schematic diagram showing a schematic configuration of a railway vehicle to which a condition diagnosis device according to an embodiment is applied. Fig. 1B is a schematic diagram showing the railway vehicle shown in Fig. 1A as viewed from the direction of an arrow. Fig. 2 is an axial cross-sectional view showing the detailed configuration of a main part of a rotating device.

[0041] A railway vehicle 1 according to an embodiment is configured to include a plurality of rotating devices 2, as shown in FIGS. 1A and 1B.

[0042] The rotating device 2 is composed of an axle 21, a pair of double row tapered roller bearings 3 that support the axle 21 at both ends of the axle 21, and a pair of wheels 22 fixedly supported at both ends of the axle 21 on the inside of the pair of double row tapered roller bearings 3.

[0043] 2, double row tapered roller bearing 3 rotatably supports the end of axle 21 inside bearing housing 23. This double row tapered roller bearing 3 includes a first tapered roller bearing portion 24A, a second tapered roller bearing portion 24B, an outer ring 25, and a cylindrical spacer 29.

[0044] The first tapered roller bearing portion 24A comprises a first inner ring 26A, a plurality of first tapered rollers 27A, and a first retainer 28A, and the second tapered roller bearing portion 24B comprises a second inner ring 26B, a plurality of second tapered rollers 27B, and a second retainer 28B.

[0045] The outer ring 25 is an outer ring common to the first tapered roller bearing portion 24A and the second tapered roller bearing portion 24B, and has a first outer ring raceway 30A and a second outer ring raceway 30B having double-row conical concave surfaces on its inner surface, and is configured so as not to rotate even when in use when fitted inside the bearing housing 23.

[0046] The first inner ring 26A has a first inner ring raceway 31A having a conical convex surface on its outer circumferential surface, and the second inner ring 26B has a second inner ring raceway 31B having a conical convex surface on its outer circumferential surface, and each is configured to rotate together with the axle 21 when in use, with the axle 21 externally fitted and fixed to the end of the axle 21.

[0047] A plurality of first tapered rollers 27A are provided between a first outer ring raceway 30A and a first inner ring raceway 31A, and are rollably supported by a first cage 28A.

[0048] A plurality of second tapered rollers 27B are provided between a second outer ring raceway 30B and a second inner ring raceway 31B, and are rollably supported by a second cage 28B.

[0049] The spacer 29 is sandwiched between the first inner ring 26A and the second inner ring 26B and is attached to the axle 21. The end of the axle 21 is fitted onto the outside of the axle 21. As shown in Figs. 1(a) and (b), wheels 22 are fitted and fixed to the outside of the portions near both ends of the middle portion.

[0050] Furthermore, as shown in Fig. 2, double row tapered roller bearing 3 is equipped with a condition diagnosis device 4 attached to the outer peripheral surface of bearing housing 23. This condition diagnosis device 4 diagnoses the condition of the components of rotating device 2 that are the diagnosis target (hereinafter sometimes referred to as "diagnosed parts"), such as scratches and peeling on double row tapered roller bearing 3, uneven wear on axle 21, and flat wear on wheels 22.

[0051] In this embodiment, the diagnosis target not only indicates the diagnosis target part, but also indicates one diagnosis target in a set with each abnormality content when two or more types of abnormality occur in each diagnosis target part. For example, in the case of a wheel flat on the wheel 22, wear at one place per revolution and wear at two places per revolution have different characteristic frequency components, so in this case, the diagnosis targets are the wheel flat (one place) on the wheel 22 and the wheel flat (two places) on the wheel 22.

[0052] The condition diagnosis device 4 includes an acceleration sensor 33 as a vibration detection unit that detects vibrations (second physical quantity) occurring in the rotating device 2, a diagnosis unit 35 that diagnoses the condition of the rotating device 2, and a vehicle speed sensor 39 that detects the vehicle speed V (first physical quantity), which is the running speed of the railway vehicle 1.

[0053] The acceleration sensor 33 outputs vibrations occurring in the vicinity of the double row tapered roller bearing 3 as an electric signal.

[0054] In this embodiment, a recess 34 is formed in a circumferential portion of the outer circumferential surface of the bearing housing 23, in a portion that corresponds to the center of the first tapered roller bearing portion 24A in the axial direction, as shown in Fig. 2. The acceleration sensor 33 is accommodated in the recess 34. Note that the location of the acceleration sensor 33 is not limited to this location, and may be changed to another location depending on the target of diagnosis, etc.

[0055] The acceleration sensor 33 is appropriately selected from sensors capable of measuring acceleration in one axis direction, sensors capable of measuring acceleration in two axis directions, sensors capable of measuring acceleration in three axis directions, etc., according to the vibration characteristics of the diagnosis target when an abnormality occurs. Also, a configuration in which multiple one-axis or two-axis sensors are arranged according to the direction of vibration to be measured may be used. Also, in this embodiment, when the diagnosis target generates vibrations in multiple axis directions, the vibration direction with the largest vibration level among the vibration directions when the vibrations occur is determined as the representative axis direction, and an acceleration sensor capable of measuring vibrations in this axial direction is used.

[0056] For example, to diagnose bearing flaking on the outer ring of a bearing, etc., it is necessary to place a sensor capable of detecting vibration in the radial direction. Since the direction in which vibration changes are noticeable varies depending on the diagnostic object, it is necessary to place a sensor capable of detecting vibration in the desired vibration direction depending on the diagnostic object.

[0057] However, the present invention is not limited to this configuration, and may be configured to detect vibrations in two or more directions along a plurality of axes. In this case, in the subsequent diagnosis process, for example, diagnosis is performed on two or more characteristic frequency components for one diagnosis target.

[0058] In the first embodiment, the vehicle speed sensor 39 is provided under the floor of the railway vehicle 1 and is a sensor that irradiates microwaves or millimeter waves onto the rail surface and detects the vehicle speed V from the amount of Doppler shift between the irradiated waves and the waves reflected from the rail surface.

[0059] The diagnostic unit 35 includes a board housing 36 fixed to the outer circumferential surface of the bearing housing 23 and a circuit board 37 arranged inside the board housing 36 .

[0060] 3 is a diagram showing an example of a block configuration of a condition diagnosis device according to an embodiment. In order to facilitate the explanation of the condition diagnosis device 4 according to the embodiment, the following will explain processing for one diagnosis target, but the diagnosis target may be multiple.

[0061] The diagnostic unit 35 performs calculations on the electrical signals output by the acceleration sensor 33 and the vehicle speed sensor 39 in order to perform a process of diagnosing the condition of each part to be diagnosed that constitutes the rotating device 2 (hereinafter also referred to as the "diagnosis process"), a process of notifying the diagnosis results (hereinafter also referred to as the "notification process"), etc.

[0062] Specifically, as shown in FIG. 3, the diagnostic unit 35 includes a first I / F section 37a, a second I / F section 37b, and a controller 37d, which are mounted on a circuit board 37 as chip components, discrete components, or the like.

[0063] The first I / F unit 37a converts the vehicle speed signal V, which is an analog electric signal output from the vehicle speed sensor 39, into a signal format that can be processed by the controller 37d at the subsequent stage. Here, in this embodiment, the controller 37d is configured from a microcontroller equipped with a CPU (Central Processing Unit) and the like.

[0064] In this embodiment, the first I / F unit 37a includes various components (not shown), such as an A / D converter for converting an analog signal into a digital signal, a filter circuit, a capacitor for AC coupling, and a signal amplifier for signal amplification.

[0065] The first I / F unit 37a transmits the converted digital vehicle speed signal Vd to a controller 37d. Output.

[0066] The second I / F unit 37b has a configuration similar to that of the first I / F unit 37a, and transmits the acceleration signal G, which is an analog electric signal output from the acceleration sensor 33, to a downstream controller 37d. The second I / F unit 37b converts the converted data into a signal format that can be processed by the The digital acceleration signal Gd is output to the controller 37d.

[0067] Although the present disclosure is not limited to the data sampling period in the first I / F unit 37a and the second I / F unit 37b, the following description will be given assuming that the data sampling period in the first I / F unit 37a and the second I / F unit 37b is the same sampling period (e.g., 1 sec).

[0068] Fig. 4 is a block diagram showing an example of a hardware configuration of the controller, and Fig. 5 is a block diagram showing an example of a functional configuration of the controller.

[0069] 4, the controller 37d includes a CPU 60 which is a central processing unit responsible for various controls and arithmetic processing, a RAM (Random Access Memory) 61 which constitutes a main storage device, a ROM (Read Only Memory) 62 which is a read-only storage device, and an RTC 63. In addition, the controller 37d includes various internal and external buses 65 for data transfer, and an input / output interface (I / F) 64. In this embodiment, the RAM 61 is configured from a non-volatile memory such as a NOR type flash memory.

[0070] The CPU 60, RAM 61, ROM 62 and RTC 63 are connected via various internal and external buses 65, and the first I / F section 37a and the second I / F section 37b of the diagnostic unit 35 are connected to this bus 65 via an input / output I / F 64.

[0071] The RTC 63 is an IC chip that has a clock function and a timer function for measuring time, and continues to keep time using a battery even when the system power is turned off. In this embodiment, the RTC 63 outputs a digital time signal indicating the year, month, day, hour, minute, and second as the current time Trd.

[0072] When the power supply to the controller 37d is turned on, a system program such as a BIOS stored in the ROM 62 or the like loads various computer programs pre-stored in the ROM 62 into the RAM 61, and the CPU 60 makes full use of various resources to perform predetermined control and arithmetic processing in accordance with the instructions written in the programs loaded into the RAM 61, thereby enabling each of the functions described below to be realized in software.

[0073] The controller 37d has functional units realized by executing a program by the CPU 60, and as shown in FIG. 5, includes a rotation speed determination unit 371, a vibration measurement unit 373, a rotation speed calculation unit 374, a feature frequency component extraction unit 375, a diagnosis unit 376, and an alarm unit 377.

[0074] The rotation speed calculation unit 374 reads out the wheel diameter R of the railway vehicle 1 stored in advance in the ROM 62, and calculates the rotation speed ω of the axle 21 using the following formula (1) based on the read-out wheel diameter R and the vehicle speed Vd input from the first I / F unit 37a at the above-mentioned data sampling period (for example, 1 [sec]). In this disclosure, the vehicle speed Vd of the railway vehicle 1 corresponds to the "first physical quantity". Also, in this disclosure, the rotation speed ω of the axle 21 (hereinafter referred to as the "axle rotation speed") corresponds to the "third physical quantity". In the following formula (1), the unit of the vehicle speed Vd is [km / h], and the unit of the axle rotation speed ω is [rpm].

[0075] ω={(Vd / 60)×1000} / (R×π) ···(1)

[0076] The rotation speed calculation unit 374 stores the axle rotation speed ω calculated using the above formula (1) in the RAM 61, and outputs it to the rotation speed determination unit 371 as the axle rotation speed in the current data sampling period (hereinafter also referred to as the "current value of the axle frequency") ωm. Note that instead of detecting the axle rotation speed, an embodiment may be adopted in which the vehicle speed Vd of the railway vehicle 1 is stored in the RAM 61, and output to the rotation speed determination unit 371 as the vehicle speed of the railway vehicle 1 in the current data sampling period (hereinafter also referred to as the "current value of the vehicle speed"). Alternatively, an embodiment may be adopted in which a rotation sensor or an angular velocity sensor that detects the rotation of the axle 21 is provided instead of the vehicle speed sensor 39, and the axle rotation speed ω is derived based on the detection value of the rotation sensor or the angular velocity sensor.

[0077] The rotation speed determination unit 371 reads out the first rotation speed threshold value ωth1 and the second rotation speed threshold value ωth2 stored in advance in the ROM 62, and reads out the axle rotation speed ω in the previous data sampling period stored in the RAM 61 as the previous value ωm-1 (m is a natural number) of the axle rotation speed. Then, when both the current value ωm of the axle rotation speed output from the rotation speed calculation unit 374 and the previous value ωm-1 of the axle rotation speed read out from the RAM 61 are within a diagnosable rotation speed range preset by the first rotation speed threshold value ωth1 and the second rotation speed threshold value ωth2 (ωth1≦ωm≦ωth2 and ωth1≦ωm-1≦ωth2), the rotation speed determination unit 371 regards the axle rotation speed as not having changed, and outputs a vibration measurement command Std to the vibration measurement unit 373. In the present disclosure, the rotation speed determination unit 371 corresponds to a "determination unit."

[0078] In this embodiment, the diagnosable rotation speed range is set to a predetermined rotation speed range including a rotation speed at which a feature frequency indicating an abnormality of the diagnosis target is likely to appear. That is, the first rotation speed threshold ωth1 and the second rotation speed threshold ωth2 are thresholds for determining whether the axle rotation speed is within a predetermined diagnosable rotation speed range set in advance. In this embodiment, the first condition in the diagnosis process is that both the current axle rotation speed value ωm and the previous axle rotation speed value ωm-1 are within the diagnosable rotation speed range.

[0079] Note that the first condition in the diagnostic process is not limited to this, and for example, a predetermined diagnosable vehicle speed range may be set for the vehicle speed of the railway vehicle 1, and the first condition in the diagnostic process may be that both the current value of the vehicle speed of the railway vehicle 1 and the previous value of the vehicle speed of the railway vehicle 1 are within the diagnosable vehicle speed range. In this case, a first vehicle speed threshold and a second vehicle speed threshold are stored in advance in the ROM 62 as thresholds for determining whether the vehicle speed of the railway vehicle 1 is within the predetermined diagnosable vehicle speed range set in advance, and when the current value and the previous value of the vehicle speed of the railway vehicle 1 are within the diagnosable vehicle speed range, it is sufficient to regard the vehicle speed of the railway vehicle 1 as not having changed and output the vibration measurement command Std to the vibration measurement unit 373.

[0080] When the vibration measurement command Std is input from the rotation speed determination unit 371, the vibration measurement unit 373 sequentially stores in the RAM 61 the vibration acceleration values ​​(hereinafter also referred to as "vibration values ​​Gd") indicated by the acceleration signal Gd input from the second I / F unit 37b. The vibration values ​​Gd stored in the RAM 61 are obtained at the time when the vibration measurement command Std is input from the rotation speed determination unit 371, that is, during the data sampling period when the current value ωm of the axle rotation speed is detected. In other words, the vibration values ​​Gd that satisfy the first condition in the above-mentioned diagnosis process are sequentially stored in the RAM 61. In the present disclosure, the vibration value Gd of the rotating device 2 corresponds to the "second physical quantity". Also, in the present disclosure, the RAM 61 corresponds to the "storage unit".

[0081] The characteristic frequency component extraction unit 375 reads out the diagnosable vibration value number threshold Pth pre-stored in ROM 62, and when the number of samples P of the vibration value Gd stored in RAM 61 reaches the diagnosable vibration value number threshold Pth (P=Pth), it reads out the vibration values ​​Gd1, Gd2, ... GdP stored sequentially in RAM 61.

[0082] In this embodiment, the diagnosable vibration value number threshold Pth is set to a vibration value number threshold required for the extraction process of the characteristic frequency components. That is, the diagnosable vibration value number threshold Pth is a threshold for determining whether the sample number P of the vibration values ​​Gd1, Gd2, . . . GdP stored in the RAM 61 reaches the sample number required for the extraction process of the characteristic frequency components. In this embodiment, the second condition in the diagnosis process is that the sample number P of the vibration values ​​Gd1, Gd2, . . . GdP stored in the RAM 61, that is, the sample number P of the vibration values ​​Gd1, Gd2, . . . GdP that satisfy the above-mentioned first condition, reaches the diagnosable vibration value number threshold Pth. Hereinafter, Gd1, Gd2, . . . GdP stored in the RAM 61, that is, a series of vibration values ​​that satisfy the above-mentioned first condition in the diagnosis process, is also referred to as a "vibration value group Gds".

[0083] The feature frequency component extraction unit 375 performs extraction processing of feature frequency components on the vibration value group Gds. Specifically, the feature frequency component extraction unit 375 performs order analysis processing on the vibration value group Gds. As a result, feature frequency components As1,...,AsN corresponding to orders 1,...,N (N is a natural number) of the diagnosis target, respectively, included in the vibration waveform indicated by the vibration value group Gds are extracted.

[0084] In this embodiment, the extraction process of the characteristic frequency components by the characteristic frequency component extraction unit 375 is performed every time the number P of the vibration values ​​Gd stored in the RAM 61 reaches the diagnosable vibration value number threshold Pth, that is, every time the second condition in the diagnosis process is satisfied. The vibration values ​​Gd1, Gd2, ..., GdP stored in the RAM 61 are erased when they are read out by the characteristic frequency component extraction unit 375. Here, the order analysis process specifically uses FFT (Fast Fourier Transform) to obtain the power spectrum (vibration level) of the vibration waveform, and obtains the component corresponding to the frequency fs corresponding to the axle rotation speed when this power spectrum is obtained as the first order component. In addition, the power spectrum for each frequency 2 times, 3 times, ..., N times the frequency fs is obtained as the second to Nth order components. The value of N is appropriately set according to the order component corresponding to the diagnosis target. The sudden power spectrum due to the disturbance element is averaged by FFT. Although the present disclosure is not limited to the averaging process using FFT, for example, arithmetic averaging, exponential averaging, peak averaging, sweep averaging, etc. may be used as the averaging process in FFT.

[0085] The feature frequency component extraction unit 375 outputs the extracted feature frequency components As1, . . . , AsN to the diagnosis unit 376.

[0086] The diagnosis unit 376 reads out diagnostic thresholds Asth1,...,AsthN stored in advance in the ROM 62. Here, the diagnostic thresholds Asth1,...,AsthN are thresholds corresponding to the characteristic frequency components As1,...,AsN, respectively. Note that, in order to facilitate the explanation of the condition diagnosis device 4 according to the embodiment, one characteristic frequency component AsQ (Q is a natural number from 1 to N) for one diagnosis object will be explained below, but there may be multiple diagnosis objects, or a mode in which thresholds are set for multiple characteristic frequency components for one diagnosis object may be used.

[0087] When the feature frequency components As1, . . . , AsN are input, the diagnosis unit 376 compares the feature frequency component AsQ corresponding to the diagnosis target with the diagnosis threshold value AsthQ corresponding to the feature frequency component AsQ. In this embodiment, when the feature frequency component AsQ is equal to or greater than the diagnosis threshold value AsthQ (AsQ ≧ AsthQ), the diagnosis unit 376 outputs an abnormality determination flag Fg to the notification unit 377. Hereinafter, the output of the abnormality determination flag Fg by the diagnosis unit 376 is also referred to as an "abnormality determination result", and the number of times the abnormality determination flag Fg is output is also referred to as the "number of abnormality determinations".

[0088] The notification unit 377 is a component that notifies, for example, a maintenance person of a railway company that manages the railway vehicle 1 of the state of the diagnosis target of the rotating device 2 according to the occurrence frequency of the abnormality determination result. In this embodiment, the notification unit 377 reads the abnormality determination count thresholds nth1, nth2, and nth3 and the determination period Tj prestored in the ROM 62, and reads the current time Trd from the RTC 63 every time the abnormality determination flag Fg is input from the diagnosis unit 376, and stores the current time Trd in the RAM 61 together with the abnormality determination flag Fg as the abnormality determination flag detection time Trdn corresponding to the abnormality determination flag Fg. The abnormality determination count thresholds nth1, nth2, and nth3 are thresholds for the number n (n is a natural number) of abnormality determination flags Fg output by the diagnosis unit 376 during the determination period Tj, i.e., the abnormality determination count n.

[0089] The notification unit 377 counts the number n of abnormality determination flags Fg stored in the RAM 61 during a predetermined determination period Tj, and outputs a diagnosis result according to the occurrence frequency of the abnormality determination results. Specifically, the notification unit 377 compares the number n of abnormality determination flags Fg with abnormality determination frequency thresholds nth1, nth2, and nth3, and outputs a diagnosis result according to the comparison result.

[0090] As shown in Fig. 5, it is preferable to provide a plurality of abnormality determination count thresholds nth1, nth2, and nth3 for the number n of abnormality determination flags Fg (abnormality determination count n). In the example shown in Fig. 5, three abnormality determination count thresholds nth1, nth2, and nth3 are provided, and three stages of diagnostic results are output, but this is not limiting. For example, four or more abnormality determination count thresholds may be provided to output more stages of diagnostic results. Also, depending on the diagnostic target, two abnormality determination count thresholds may be provided to output two stages of diagnostic results.

[0091] In this way, the condition diagnosis device 4 according to the embodiment outputs a diagnosis result according to the occurrence frequency of an abnormality judgment result in the diagnosis object, thereby enabling operation suitable for maintenance management in CBM (Condition Based Maintenance).

[0092] Fig. 6 is a diagram showing an example of vibration value acquisition in the condition diagnosis device according to the embodiment. Fig. 7 is a diagram showing a comparative example to the example of vibration value acquisition in the condition diagnosis device according to the embodiment shown in Fig. 6. In Figs. 6 and 7, the horizontal axis indicates time t, and the vertical axis indicates the axle rotation speed ω. In Figs. 6 and 7, the dashed line indicates the sampling timing, and the dashed line indicates the diagnosable rotation speed range.

[0093] In the comparative example shown in FIG. 7, a diagnosable time Tf required for extracting the characteristic frequency component is defined. That is, in the comparative example shown in FIG. 7, it is necessary to maintain the rotation within a predetermined diagnosable rotation speed range (within the range indicated by ωth1≦ω≦ωth2 in the figure) continuously during a certain diagnosable time Tf in order to extract the characteristic frequency component. In FIG. 7, as an example, the number of samples P of the vibration value Gd that can be acquired during this diagnosable time Tf is set to "7". That is, in the comparative example shown in FIG. 7, if the data sampling period is, for example, 1 [sec], it is necessary for the axle rotation speed ω to continue to satisfy ωth1≦ω≦ωth2 continuously for 7 [sec]. For this reason, depending on the operating state of the rotating device 2, specifically, for example, the operating curve when the railway vehicle 1 is operated, it may not be possible to perform an appropriate diagnosis for the maintenance operation of the rotating device 2.

[0094] In contrast, in the condition diagnosis device 4 according to the present embodiment, as described above, the vibration value Gd when the axle rotation speed ω is within the diagnosable rotation speed range is accumulated, and the characteristic frequency components are extracted from the accumulated vibration value group Gds. For this reason, if the number of samples P (diagnosable vibration value number threshold Pth) of the vibration value Gd required for extracting the characteristic frequency components is set to "7" as in the comparative example shown in Fig. 7, even if there is a discontinuous period in which the axle rotation speed ω is outside the diagnosable rotation speed range between the periods A, B, and C in Fig. 6, the characteristic frequency components can be extracted by treating the vibration values ​​Gd1, Gd2,..., Gd7 acquired in each period A, B, and C as a series of vibration value groups Gds.

[0095] As a result, in the condition diagnosis device 4 according to this embodiment, the diagnosis conditions are more easily met than in the comparative example shown in Fig. 7. Specifically, in the example shown in Fig. 6, if the data sampling period is, for example, 1 [sec], it is sufficient that the axle rotation speed ω satisfies ωth1≦ω≦ωth2 for at least two consecutive sampling periods (2 [sec]).

[0096] Furthermore, even if the axle rotation speed ω is within the diagnosable rotation speed range, if the axle rotation speed ω is within the diagnosable rotation speed range for only one data sampling period, the railway vehicle 1 is accelerating or decelerating, so the acquired vibration value group Gds may contain many sudden power spectra, and the effects of external disturbance elements may not be suppressed even by averaging processing using FFT.

[0097] In the condition diagnosis device 4 according to the present embodiment, as described above, when both the axle rotation speed ωm in the previous data sampling period and the axle rotation speed ωm-1 in the previous data sampling period are within the diagnosable rotation speed range, that is, when the first condition in the diagnosis process is satisfied, the axle rotation speed is assumed to be unchanged and the vibration value Gd is acquired. Then, when the sample number P of the acquired vibration values ​​Gd1, Gd2, . . . GdP reaches the diagnosable vibration value number threshold value Pth, that is, when the second condition in the diagnosis process is satisfied, extraction processing of characteristic frequency components is performed on the acquired vibration value group Gds (vibration values ​​Gd1, Gd2, . . . GdP). As a result, the sudden power spectrum included in the acquired vibration value group Gds is reduced and the influence of disturbance elements is suppressed, so that the diagnosis accuracy of the diagnosis target can be improved. As a result, in the condition diagnosis device 4 according to the present embodiment, it is possible to appropriately diagnose the maintenance operation of the rotating device 2 without depending on the operational state of the rotating device 2, specifically, for example, the operation plan or operation curve of the railway vehicle 1.

[0098] Hereinafter, the diagnosis process in the condition diagnosis device 4 will be described with reference to Fig. 8. Fig. 8 is a flowchart showing an example of a diagnosis process procedure of the condition diagnosis device according to the embodiment. Note that the diagnosis process shown in Fig. 8 is, as an example, a process that is repeatedly executed while the railway vehicle 1 shown in Fig. 1 is in operation (while the drive source is being driven or while the vehicle is traveling).

[0099] When the CPU 60 executes a program and starts the diagnostic process, the condition diagnosis device 4 determines whether or not a first condition in the diagnostic process is satisfied (step S100). Specifically, for example, the rotation speed calculation unit 374 calculates the axle rotation speed ω based on the vehicle speed Vd detected by the vehicle speed sensor 39, and the rotation speed determination unit 371 determines whether or not both the current axle rotation speed value ωm and the previous axle rotation speed value ωm-1 are within a preset diagnosable rotation speed range.

[0100] If the first condition in the diagnosis process is not satisfied (step S100; No), condition diagnosis device 4 repeatedly executes the process of step S100.

[0101] FIG. 9 is a flowchart illustrating an example of a procedure for determining whether a first condition is satisfied in the diagnosis process.

[0102] The rotation speed calculation unit 374 calculates the axle rotation speed ω using the above-mentioned formula (1) (step S101). The rotation speed calculation unit 374 stores the calculated axle rotation speed ω in the RAM 61, and outputs it to the rotation speed determination unit 371 as the axle rotation speed (current value of the axle frequency) ωm in the current data sampling period.

[0103] The rotation speed determination unit 371 reads out the axle rotation speed ω in the previous data sampling period stored in RAM 61 as the previous value ωm-1 of the axle rotation speed, and determines whether the read previous value ωm-1 of the axle rotation speed is greater than or equal to the first rotation speed threshold ωth1 and less than or equal to the second rotation speed threshold ωth2 (step S102).

[0104] If the previous axle rotation speed value ωm-1 is less than the first rotation speed threshold ωth1 or greater than the second rotation speed threshold ωth2 (step S102; No), the rotation speed determination unit 371 repeatedly executes the processes from step S101 to step S102.

[0105] If the previous value ωm-1 of the axle rotation speed is greater than or equal to the first rotation speed threshold ωth1 and less than or equal to the second rotation speed threshold ωth2 (step S102; Yes), the rotation speed determination unit 371 then determines whether the current value ωm of the axle frequency input from the rotation speed calculation unit 374 is greater than or equal to the first rotation speed threshold ωth1 and less than or equal to the second rotation speed threshold ωth2 (step S103).

[0106] When the current value ωm of the axle frequency is less than the first rotation speed threshold ωth1 or greater than the second rotation speed threshold ωth2 (step S103; No), the rotation speed determination unit 371 repeatedly executes the processes from step S101 to step S103.

[0107] If the current value ωm of the axle frequency is equal to or greater than the first rotation speed threshold ωth1 and equal to or less than the second rotation speed threshold ωth2 (step S103; Yes), the rotation speed determination unit 371 assumes that the axle rotation speed has not changed and outputs a vibration measurement command Std to the vibration measurement unit 373 (step S104). This satisfies the first condition in the diagnosis process (step S100; Yes).

[0108] 8, when the first condition in the diagnosis process is satisfied (step S100; Yes), the condition diagnosis device 4 acquires and stores the vibration value Gd (step S1110). Specifically, the vibration measurement unit 373 stores the vibration value Gd detected by the acceleration sensor 33 in the RAM 61.

[0109] Next, the condition diagnosis device 4 determines whether or not a second condition in the diagnosis process is satisfied (step S120). Specifically, for example, the characteristic frequency component extraction unit 375 determines whether or not the sample number P of the vibration value Gd stored in the RAM 61 has reached a diagnosable vibration value number threshold value Pth.

[0110] If the second condition in the diagnosis process is not satisfied (step S120; No), condition diagnosis device 4 repeatedly executes the process from step S100 to step S120.

[0111] FIG. 10 is a flowchart illustrating an example of a procedure for determining whether the second condition is satisfied in the diagnosis process.

[0112] The characteristic frequency component extraction unit 375 judges whether the number of samples P of the vibration value Gd stored in the RAM 61 reaches the diagnosable vibration value number threshold Pth (step S121). If the number of samples P of the vibration value Gd stored in the RAM 61 does not reach the diagnosable vibration value number threshold Pth (step S121; No), the process returns to step S100. Thereafter, the vibration values ​​Gd1, Gd2, ... GdP that satisfy the first condition in the diagnostic process are stored in the RAM 61 in chronological order by repeating the process up to step S121 until the number of samples P of the vibration value Gd stored in the RAM 61 reaches the diagnosable vibration value number threshold Pth (step S121; Yes). This establishes the second condition in the diagnostic process (step S120; Yes).

[0113] When the second condition in the diagnosis process is satisfied (step S120; Yes), the condition diagnosis device 4 performs a state diagnosis of the diagnosis target based on the acquired vibration value Gd (step S130). Specifically, for example, the characteristic frequency component extraction unit 375 performs extraction processing of characteristic frequency components for a series of vibration values ​​Gd1, Gd2, ... GdP (vibration value group Gds) stored in the RAM 61. Then, the diagnosis unit 376 performs a threshold judgment of the characteristic frequency components corresponding to the diagnosis target.

[0114] FIG. 11 is a flowchart illustrating an example of a procedure for determining an abnormality in a diagnosis target in a diagnosis process.

[0115] The feature frequency component extraction unit 375 performs the above-mentioned order analysis processing on the series of vibration values ​​Gd1, Gd2, ... GdP (vibration value group Gds) stored in the RAM 61, performs extraction processing of feature frequency components As1, ..., AsN (step S131), and outputs the extracted feature frequency components As1, ..., AsN to the diagnosis unit 376.

[0116] When the feature frequency components As1, . . . , AsN are input, the diagnosis unit 376 determines whether the feature frequency component AsQ corresponding to the diagnosis target is equal to or greater than the diagnosis threshold AsthQ corresponding to the feature frequency component AsQ (step S132).

[0117] If the characteristic frequency component AsQ is less than the diagnostic threshold AsthQ (step S132; No), the process returns to the diagnostic process shown in FIG.

[0118] When the characteristic frequency component AsQ is equal to or greater than the diagnostic threshold value AsthQ (step S132; Yes), the condition diagnostic device 4 outputs the abnormality determination flag Fg from the diagnosing unit 376 to the notifying unit 377 (step S133), and returns to the diagnostic processing shown in FIG.

[0119] After the abnormality determination process of the diagnosis target shown in FIG. 11, the condition diagnosis device 4 repeatedly executes the diagnosis process shown in FIG.

[0120] Next, the notification process in the condition diagnosis device 4 will be described with reference to FIG. 12. FIG. 12 is a flowchart showing an example of a notification process procedure of the condition diagnosis device according to the embodiment. The notification process shown in FIG. 12 is a process executed using the result of the diagnosis process described above. FIG. 12 also shows an example in which three different abnormality determination count thresholds are provided, namely, a first abnormality determination count threshold nth1, a second abnormality determination count threshold nth2, and a third abnormality determination count threshold nth3. In this embodiment, the magnitude relationship between the first abnormality determination count threshold nth1, the second abnormality determination count threshold nth2, and the third abnormality determination count threshold nth3 is nth1>nth2>nth3.

[0121] When the CPU 60 executes a program and starts the notification process, the condition diagnosis device 4 outputs a diagnosis result according to the occurrence frequency of the abnormality determination result determined to be abnormal in the abnormality determination process of the above-mentioned diagnosis process.

[0122] Specifically, each time the abnormality determination flag Fg is output from the diagnosis unit 376, the notification unit 377 reads the current time Trd from the RTC 63 (step S201), and stores the current time Trd in the RAM 61 together with the abnormality determination flag Fg as the abnormality determination flag detection time Trdn corresponding to the abnormality determination flag Fg (step S202).

[0123] The notification unit 377 counts the number n of abnormality determination flags Fg stored in the RAM 61 during a predetermined determination period Tj (step S203), and determines whether the number n of abnormality determination flags Fg is equal to or greater than the first abnormality determination count threshold nth1 (step S204). If the number n of abnormality determination flags Fg is equal to or greater than the first abnormality determination count threshold nth1 (step S204; Yes), the notification unit 377 outputs a diagnosis result a that alerts the user that the diagnostic object requires replacement or maintenance (step S205), and returns to the process of step S201. This makes it possible to alert the user that the diagnostic object requires replacement or maintenance when the number n of abnormality determination flags Fg becomes equal to or greater than the first abnormality determination count threshold nth1 during the predetermined determination period Tj.

[0124] When the number of abnormality determinations n becomes less than the first abnormality determination count threshold nth1 (step S204; No), the notification unit 377 determines whether the number n of abnormality determination flags Fg is greater than or equal to the second abnormality determination count threshold nth2 and less than the first abnormality determination count threshold nth1 (step S206).

[0125] When the number n of abnormality determination flags Fg is equal to or greater than the second abnormality determination count threshold nth2 and less than the first abnormality determination count threshold nth1 (step S206; Yes), the notification unit 377 outputs a diagnosis result b that alerts the user that an abnormality may have occurred in the diagnostic object (step S207), and returns to the process of step S201. This makes it possible to alert the user that an abnormality may have occurred in the diagnostic object when the number n of abnormality determination flags Fg is equal to or greater than the second abnormality determination count threshold nth2 and less than the first abnormality determination count threshold nth1 within a predetermined determination period Tj.

[0126] When the number n of abnormality determination flags Fg becomes less than the second abnormality determination count threshold nth2 (step S206; No), the notification unit 377 determines whether the abnormality determination count n is greater than or equal to the third abnormality determination count threshold nth3 and less than the second abnormality determination count threshold nth2 (step S208).

[0127] When the number n of abnormality determination flags Fg is equal to or greater than the third abnormality determination count threshold nth3 and less than the second abnormality determination count threshold nth2 (step S208; Yes), the notification unit 377 outputs a diagnosis result c that alerts the user to the need for attention to the diagnostic object (step S209), and returns to the process of step S201. This alerts the user to the need for attention to the diagnostic object when the number n of abnormality determinations within a predetermined determination period Tj is equal to or greater than the third abnormality determination count threshold nth3 and less than the second abnormality determination count threshold nth2.

[0128] When the number n of abnormality determination flags Fg becomes less than the third abnormality determination frequency threshold nth3 (step S208; No), the process returns to step S201.

[0129] By repeatedly carrying out the above-mentioned notification process, the condition diagnosis device 4 can output in real time a diagnosis result corresponding to the occurrence frequency of the abnormality determination result determined to be abnormal in the abnormality determination process of the above-mentioned diagnosis process.

[0130] Furthermore, by providing multiple abnormality determination count thresholds (here, a first abnormality determination count threshold nth1, a second abnormality determination count threshold nth2, and a third abnormality determination count threshold nth3), it is possible to output a diagnosis result according to the maintenance priority for the diagnosed parts of the rotating device 2. In the above example, diagnosis result a has a higher maintenance priority for the diagnosed parts of the rotating device 2 than diagnosis result b, and diagnosis result b has a higher maintenance priority for the diagnosed parts of the rotating device 2 than diagnosis result c. This enables operation suitable for maintenance management in CBM, and enables an appropriate maintenance operation plan for the rotating device 2.

[0131] Although not explicitly stated in the above notification process procedure, the abnormality determination flag Fg that is outside the determination period Tj may be erased from the RAM 61 at any timing together with the abnormality determination flag detection time Trdn. This allows the storage area of ​​the RAM 61 to be reduced.

[0132] In addition, in the above-described embodiment, the diagnosis target of the condition diagnosis device 4 has been described as the components of the rotating device 2 of the railway vehicle 1, but the application range of the condition diagnosis device 4 according to this embodiment is not limited to this.

[0133] For example, the condition diagnosis device of this embodiment is configured to include a memory unit that sequentially accumulates a first physical quantity corresponding to the rotation of the rotating device, or a second physical quantity corresponding to the vibration of the rotating device when a third physical quantity calculated based on the first physical quantity is within a predetermined range, and a diagnosis unit that diagnoses the condition of the object to be diagnosed based on the series of second physical quantities accumulated in the memory unit when the number of samples of the second physical quantity accumulated in the memory unit reaches a predetermined value, and thus can be widely applied, not limited to components of the rotating device 2 of a railway vehicle 1.

[0134] In this case, it is preferable to further include a notification unit that outputs a diagnosis result of the diagnostic object in accordance with the number of times the diagnostic object is judged to be abnormal based on the diagnosis result of the diagnosis unit.

[0135] Furthermore, it is more preferable that the notification unit be configured to set a plurality of abnormality determination count thresholds each having a different value for the number of abnormality determinations of the object to be diagnosed, and to output a plurality of levels of diagnosis results according to the number of abnormality determinations of the object to be diagnosed.

[0136] As described above, the condition diagnosis device 4 according to the first embodiment is a condition diagnosis device 4 provided in a railway vehicle 1, and includes a RAM 61 (storage unit) that receives as input information the vehicle speed Vd (first physical quantity) of the railway vehicle 1 and the vibration value Gd (second physical quantity) of the rotating device 2, and sequentially accumulates the vibration value Gd (second physical quantity) of the rotating device 2 when the vehicle speed Vd of the railway vehicle 1 or the axle rotation speed ω (third physical quantity) of the rotating device 2 calculated based on the vehicle speed Vd (first physical quantity) is within a predetermined range, and a diagnosis unit 376 that diagnoses the condition of an object to be diagnosed based on the series of vibration values ​​Gd1, Gd2, ... GdP accumulated in the RAM 61 (storage unit) when the sample number P of the vibration value Gd (second physical quantity) accumulated in the RAM 61 (storage unit) becomes a predetermined diagnosable vibration value number threshold Pth.

[0137] This makes it possible to appropriately diagnose the part to be diagnosed without depending on the operational state of the rotating device 2, specifically, for example, the operation plan or operation curve of the railway vehicle 1.

[0138] In addition, the above configuration further includes a rotation speed determination unit 371 (determination unit) that determines whether the value of the vehicle speed Vd or the axle rotation speed ω acquired in the current data sampling cycle and the value acquired in the previous data sampling cycle are both equal to or greater than a first rotation speed threshold ωth1 and equal to or less than a second rotation speed threshold ωth2 that is greater than the first rotation speed threshold ωth1 (whether a first condition in the diagnostic processing is satisfied), and a vibration measurement unit 383 that stores the vibration value Gd of the rotation device 2 in the RAM 61 (storage unit) when the first condition is satisfied.

[0139] This reduces sudden power spectra contained in the acquired vibration value group and suppresses the influence of disturbance factors, thereby improving the accuracy of diagnosis of the diagnosis target.

[0140] In the above configuration, the device further includes a characteristic frequency component extraction unit 375 that extracts a characteristic frequency component of the diagnosis target based on a series of vibration values ​​Gd1, Gd2, . . . GdP (vibration value group Gds) stored in the RAM 61 (storage unit), and a diagnosis unit 376 outputs an abnormality determination flag Fg of the diagnosis target when the characteristic frequency component is equal to or greater than a predetermined diagnosis threshold value.

[0141] This makes it possible to detect abnormal trends in the subject of diagnosis.

[0142] Furthermore, in the above configuration, the feature frequency component extraction unit 375 determines whether the sample number P of the vibration values ​​Gd1, Gd2, ... GdP (vibration value group Gds) stored in the RAM 61 (storage unit) has become a predetermined diagnosable vibration value number threshold Pth (whether the second condition in the diagnostic processing is satisfied), and extracts the feature frequency component of the diagnosis target if the second condition is satisfied.

[0143] This, in combination with the above-mentioned first condition, makes it possible to extract characteristic frequency components using discontinuous vibration values, making it easier to establish diagnostic conditions.

[0144] In the above configuration, the characteristic frequency component extraction unit 375 performs an order analysis process on a series of vibration values ​​Gd1, Gd2, . . . GdP (vibration value group Gds) stored in the RAM 61 (storage unit).

[0145] This makes it possible to extract the characteristic frequency components of the diagnosis target.

[0146] In the above configuration, the characteristic frequency component extraction unit 375 performs fast Fourier transform processing (FFT) as the order analysis processing. This averages out sudden power spectra due to disturbance elements.

[0147] The above configuration further includes a notification unit 377 that outputs a diagnosis result of the diagnostic target in accordance with the frequency of occurrence of the abnormality determination flag Fg.

[0148] This makes it possible to output a diagnosis result according to the frequency of occurrence of the abnormality determination flag Fg, enabling operation suitable for maintenance management using CBM (Condition Based Maintenance).

[0149] In the above configuration, the notification unit 377 is configured to set a plurality of abnormality determination frequency thresholds each having a different value for the number n of abnormality determination flags Fg, and outputs a plurality of stages of diagnosis results according to the number n of abnormality determination flags Fg.

[0150] This makes it possible to set the maintenance priority according to the number n of abnormality determination flags Fg.

[0151] In the above configuration, the notification unit 377 sets a first abnormality determination count threshold and a second abnormality determination count threshold smaller than the first abnormality determination count threshold as the multiple abnormality determination count thresholds, outputs a first diagnosis result when the number of abnormality determination flags Fg is equal to or greater than the first abnormality determination count threshold, and outputs a second diagnosis result different from the first diagnosis result when the number of abnormality determination flags Fg is equal to or greater than the second abnormality determination count threshold and is less than the first abnormality determination count threshold. Specifically, the first diagnosis result has a higher maintenance priority for the rotation device 2 than the second diagnosis result.

[0152] This makes it possible to output a diagnosis result according to the maintenance priority of the diagnosis target part of the rotating device 2, and enables an appropriate maintenance operation plan for the rotating device 2.

[0153] Moreover, the condition diagnosis method according to the first embodiment includes the steps of: inputting a first physical quantity (vehicle speed Vd of the railway vehicle 1) corresponding to the rotation of the rotating device 2 and a second physical quantity (vibration value Gd of the rotating device 2) corresponding to the vibration of the rotating device; and determining whether or not the first physical quantity (vehicle speed Vd) or a third physical quantity (axle rotation speed ω of the rotating device 2) calculated based on the first physical quantity (vehicle speed Vd) is within a predetermined range; accumulating the second physical quantity (vibration value Gd) when the first physical quantity (vehicle speed Vd) or the third physical quantity (axle rotation speed ω) is within the predetermined range; and diagnosing the condition of a diagnosis target of the rotating device 2 based on the accumulated series of second physical quantities (vibration value group Gds) when the number of samples P of the accumulated second physical quantities (vibration values ​​Gd1, Gd2, . . . GdP (vibration value group Gds)) reaches a predetermined value.

[0154] This allows the diagnosis of the diagnosis target part to be performed appropriately regardless of the operating state of the rotating device 2.

[0155] The method further includes a step of outputting a diagnosis result of the diagnostic object in accordance with the number n of times the diagnostic object has been determined to be abnormal.

[0156] This makes it possible to output a diagnosis result according to the number of times n that an abnormality has been detected for the object to be diagnosed, enabling operation suitable for maintenance management using CBM (Condition Based Maintenance).

[0157] In addition, a plurality of abnormality determination frequency thresholds, each having a different value, are set for the number of abnormality determinations n of the diagnosis target, and a plurality of stages of diagnosis results are output according to the number of abnormality determinations of the diagnosis target.

[0158] This makes it possible to set the maintenance priority according to the number n of abnormality determinations of the diagnosis target.

[0159] Furthermore, as the multiple abnormality determination count thresholds, a first abnormality determination count threshold and a second abnormality determination count threshold smaller than the first abnormality determination count threshold are set, and when the abnormality determination count n is equal to or greater than the first abnormality determination count threshold, a first diagnosis result is output, and when the abnormality determination count n is equal to or greater than the second abnormality determination count threshold and is less than the first abnormality determination count threshold, a second diagnosis result different from the first diagnosis result is output. The first diagnosis result has a higher maintenance priority for the rotating device 2 than the second diagnosis result.

[0160] This makes it possible to output a diagnosis result according to the maintenance priority of the diagnosis target part of the rotating device 2, and enables an appropriate maintenance operation plan for the rotating device 2.

[0161] In this way, according to this embodiment, a condition diagnosis device 4 and a condition diagnosis method that can perform appropriate diagnosis regardless of the operating state of the rotating device 2 are obtained.

[0162] The figures used above are conceptual diagrams for qualitatively explaining the present disclosure, and are not intended to be limiting. The above-described embodiment is an example of a preferred embodiment of the present disclosure, but is not intended to be limiting, and various modifications can be made without departing from the spirit of the present disclosure. [Explanation of symbols]

[0163] 1. Railway vehicles 2 Rotating device 3 Double row tapered roller bearing 4. Condition diagnostic device 21 Axles 22 wheels 33 Acceleration Sensor 35 Diagnostic Unit 37 Circuit Board 37a First I / F section 37b Second I / F section 37d Controller 39 Vehicle speed sensor 60 CPU 61 RAM (Random Access Memory) 62 ROM (Read Only Memory) 63 RTC 64 Input / Output Interface (I / F) 65 Bus 371 Rotational speed determination unit 373 Vibration Measurement Section 374 Rotational Speed ​​Calculation Unit 375 Feature Frequency Component Extraction Unit 376 Diagnostics Department 377 Information Department

Claims

1. A condition diagnosis device that receives information indicating a first physical quantity corresponding to rotation of a rotating device and information indicating a second physical quantity corresponding to vibration of the rotating device, and diagnoses a condition of a diagnosis target in the rotating device based on the first physical quantity and the second physical quantity, a storage unit that accumulates a second physical quantity when the first physical quantity acquired at a predetermined data sampling period or a third physical quantity calculated based on the first physical quantity is within a predetermined range continuously over two data sampling periods; a diagnosis unit that diagnoses a state of the diagnosis object based on the series of second physical quantities stored in the storage unit when a number of samples of the second physical quantity stored in the storage unit reaches a predetermined value even when there is a discontinuous period in which the first physical quantity or the third physical quantity is outside the predetermined range; Equipped with Condition diagnostic device.

2. a notification unit that outputs a diagnosis result of the diagnostic object in accordance with the number of times the diagnostic unit has determined that the diagnostic object is abnormal, The condition diagnosis device according to claim 1 .

3. The notification unit is A plurality of abnormality determination frequency thresholds each having a different value are set for the number of abnormality determinations of the diagnosis target, and a plurality of stages of diagnosis results are output according to the number of abnormality determinations of the diagnosis target. The condition diagnosis device according to claim 2.

4. A condition diagnosis device provided in a railway vehicle, the first physical quantity is a vehicle speed of the railway vehicle, the second physical quantity is a vibration value of the rotating device, The storage unit is Sequentially accumulating vibration values ​​when the vehicle speed or an axle rotation speed of the rotating device calculated as the third physical quantity based on the vehicle speed is within a predetermined range; The diagnosis unit includes: when the number of samples of the vibration values ​​stored in the storage unit reaches a predetermined value, a state of the diagnostic object is diagnosed based on the series of vibration values ​​stored in the storage unit. The condition diagnosis device according to claim 1 .

5. a determination unit that determines whether or not a first condition is satisfied in which a value of the vehicle speed or the axle rotation speed acquired in a current data sampling period and a value of the vehicle speed or the axle rotation speed acquired in a previous data sampling period are both equal to or greater than a first threshold value and equal to or smaller than a second threshold value that is greater than the first threshold value; a vibration measuring unit that stores a vibration value of the rotating device acquired in a current data sampling period in the storage unit when the first condition is satisfied; Further comprising: The condition diagnosis device according to claim 4.

6. a feature frequency component extracting unit that extracts a feature frequency component of the diagnosis object based on the series of vibration values ​​stored in the storage unit, The diagnosis unit includes: When the characteristic frequency component is equal to or greater than a predetermined diagnostic threshold, an abnormality determination flag for the diagnostic object is output.

6. A condition diagnosis device according to claim 4 or 5.

7. The feature frequency component extraction unit determining whether a second condition is satisfied, that is, the number of samples of the vibration value stored in the storage unit reaches a predetermined value, and extracting a characteristic frequency component of the diagnosis target when the second condition is satisfied; The condition diagnosis device according to claim 6.

8. The feature frequency component extraction unit is performing an order analysis process on the series of vibration values ​​stored in the storage unit; The condition diagnosis device according to claim 6 or 7.

9. The feature frequency component extraction unit is As the order analysis process, a fast Fourier transform process is performed. The condition diagnosis device according to claim 8.

10. a notification unit that outputs a diagnosis result of the diagnostic object according to an appearance frequency of the abnormality determination flag, The condition diagnosis device according to any one of claims 6 to 9.

11. The notification unit is A plurality of abnormality determination frequency thresholds each having a different value are set for the number of the abnormality determination flags, and a plurality of stages of diagnosis results corresponding to the number of the abnormality determination flags are output. The condition diagnosis device according to claim 10.

12. The notification unit is As the plurality of abnormality determination count thresholds, a first abnormality determination count threshold and a second abnormality determination count threshold smaller than the first abnormality determination count threshold are set, When the number of the abnormality determination flags is equal to or greater than the first abnormality determination count threshold, a first diagnosis result is output. when the number of the abnormality determination flags is equal to or greater than the second abnormality determination count threshold and is less than the first abnormality determination count threshold, outputting a second diagnosis result different from the first diagnosis result; the first diagnosis result has a higher maintenance priority for the rotating device than the second diagnosis result; The condition diagnosis device according to claim 11.

13. A first physical quantity corresponding to the rotation of a rotating device and a second physical quantity corresponding to the vibration of the rotating device are inputted; accumulating a second physical quantity when the first physical quantity acquired at a predetermined data sampling period or a third physical quantity calculated based on the first physical quantity is within a predetermined range continuously over two data sampling periods; diagnosing a state of a diagnosis target of the rotating device based on the accumulated series of second physical quantities when a number of accumulated samples of the second physical quantity reaches a predetermined value even when there is a discontinuous period in which the first physical quantity or the third physical quantity is outside the predetermined range; having How to diagnose the condition.

14. The method further includes a step of outputting a diagnosis result of the diagnosis object according to the number of times the diagnosis object is determined to be abnormal. The condition diagnosis method according to claim 13.

15. A plurality of abnormality determination frequency thresholds each having a different value are set for the number of abnormality determinations of the diagnosis target, and a plurality of stages of diagnosis results are output according to the number of abnormality determinations of the diagnosis target. The condition diagnosis method according to claim 14.

16. As the plurality of abnormality determination count thresholds, a first abnormality determination count threshold and a second abnormality determination count threshold smaller than the first abnormality determination count threshold are set, When the number of abnormality determinations is equal to or greater than the first abnormality determination number threshold, a first diagnosis result is output. When the number of abnormality determinations is equal to or greater than the second abnormality determination number threshold and is less than the first abnormality determination number threshold, a second diagnosis result different from the first diagnosis result is output. the first diagnosis result has a higher maintenance priority for the rotating device than the second diagnosis result; The condition diagnosis method according to claim 15.

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