Fault detection method, device and equipment for motor bearing and storage medium

Abstract

The invention provides a fault detection method and device for a motor bearing, equipment and a storage medium, and the method comprises the steps: determining a fault feature order corresponding to a specific part for each specific part in a plurality of specific parts based on a parameter value of a target part of the motor bearing and the rotating speed of a motor rotor shaft; based on the fault feature order, the torque and the rotating speed of the motor are obtained; determining vibration data of the motor bearing based on the torque and the rotating speed; and determining a fault part in a plurality of specific parts based on the vibration data and the fault feature order. By adopting the technical scheme provided by the invention, the maintenance cost can be reduced, the efficiency can be improved, the operation is simple and convenient, and the realizability is high. In addition, the power assembly is good in universality, can be applied to the development stage of motor products, and is also suitable for power assembly products of other types.

Description

Technical Field

[0001] The present application relates to the technical field of motor bearing fault detection, and in particular to a motor bearing fault detection method, device, equipment and storage medium. Background Art

[0002] Today, the powertrain of passenger cars tends to be electrified. Major automakers have invested in a variety of new energy vehicle models in the R&D and market. The market share of new energy vehicle models has risen rapidly. Due to the development of science and technology and the fierce competition among automakers, customers have increasingly higher requirements for vehicle driving comfort. In new energy vehicles, the noise and abnormal sound of the motor are one of the key factors affecting driving comfort. Although the motor noise has been optimized through simulation and testing during the product development stage, the lack of dimensional accuracy of parts in production and wear during use lead to the failure of bearings and other components, causing abnormal order noise. At present, there are two main ways to detect motor bearing faults: one is to test the motor as a whole, and the other is to disassemble the motor and separate the bearings for testing.

[0003] However, when testing the motor as a whole, it is impossible to lock on to the specific faulty parts in the bearing. Disassembling the motor and separating the bearing before testing is not conducive to maintaining the state of the faulty bearing or reproducing the abnormal sound. In summary, there is currently no perfect detection method for motor bearing failures. It can neither quickly and accurately locate the bearing fault part, nor has the problem of single test equipment capabilities, and it is unable to take into account fault detection, offline testing, and product development testing. Summary of the invention

[0004] In view of this, the purpose of the embodiments of the present application is to provide a motor bearing fault detection method, device, equipment and storage medium, which can not only reduce maintenance costs and improve efficiency, but also be easy to operate and highly feasible. In addition, the present application has good versatility and can be applied to the development stage of motor products, and is also applicable to other types of powertrain products. The present application mainly includes the following aspects:

[0005] In a first aspect, an embodiment of the present application provides a method for detecting a fault of a motor bearing, the method comprising:

[0006] For each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, determine the fault characteristic order corresponding to the specific part;

[0007] Based on the fault characteristic order, obtaining the torque and speed of the motor;

[0008] Based on the torque and the speed, determining vibration data of the motor bearing;

[0009] A fault location among a plurality of specific locations is determined based on the vibration data and the fault characteristic order.

[0010] Preferably, for each specific part of the multiple specific parts, determining the fault characteristic order corresponding to the specific part based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft includes:

[0011] For each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, determine the vibration frequency corresponding to the specific part when a fault occurs;

[0012] Based on the vibration frequency and the rotation frequency of the motor rotor shaft, the fault characteristic order corresponding to the specific part is determined.

[0013] Preferably, the determining the fault location among a plurality of specific locations based on the vibration data and the fault characteristic order comprises:

[0014] Acquire a carrier frequency corresponding to the vibration data;

[0015] Based on the rotation speed, the carrier frequency and the vibration data, determining a vibration amplitude corresponding to the vibration data;

[0016] Based on the vibration amplitude and the fault characteristic order, determining whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part, and displaying the determination result in a chart;

[0017] In response to the determination result displayed in the graph, if the vibration amplitude exceeds the normal vibration amplitude range of the specific part, the specific part is determined to be a faulty part among the multiple specific parts.

[0018] Preferably, the maximum value of the horizontal axis of the graph is the maximum value of the carrier frequency of the motor;

[0019] The maximum value on the vertical axis of the graph is the maximum rotational speed among the rotational speeds.

[0020] In a second aspect, an embodiment of the present application further provides a motor bearing fault detection device, the motor bearing fault detection device comprising:

[0021] A fault characteristic order determination module determines, for each specific part of the multiple specific parts, a fault characteristic order corresponding to the specific part based on a parameter value of a target part of the motor bearing and a rotation speed of a motor rotor shaft;

[0022] An acquisition module, which acquires the torque and speed of the motor based on the fault feature order;

[0023] A vibration data determination module, which determines vibration data of the motor bearing based on the torque and the rotational speed;

[0024] The fault location determination module determines the fault location among a plurality of specific locations based on the vibration data and the fault characteristic order.

[0025] Preferably, the vibration data determination module is specifically used for:

[0026] For each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, determine the vibration frequency corresponding to the specific part when a fault occurs;

[0027] Based on the vibration frequency and the rotation frequency of the motor rotor shaft, the fault characteristic order corresponding to the specific part is determined.

[0028] Preferably, the fault location determination module is specifically used for:

[0029] Acquire a carrier frequency corresponding to the vibration data;

[0030] Based on the rotation speed, the carrier frequency and the vibration data, determining a vibration amplitude corresponding to the vibration data;

[0031] Based on the vibration amplitude and the fault characteristic order, determining whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part, and displaying the determination result in a chart;

[0032] In response to the determination result displayed in the graph, if the vibration amplitude exceeds the normal vibration amplitude range of the specific part, the specific part is determined to be a faulty part among the multiple specific parts.

[0033] Preferably, the maximum value of the horizontal axis of the graph is the maximum value of the carrier frequency of the motor;

[0034] The maximum value on the vertical axis of the graph is the maximum rotational speed among the rotational speeds.

[0035] In the third aspect, an embodiment of the present application also provides an electronic device, comprising: a processor, a memory and a bus, the memory storing machine-readable instructions executable by the processor, when the electronic device is running, the processor and the memory communicate through the bus, and the machine-readable instructions are executed by the processor to execute the steps of the fault detection method described in the above aspect or any possible implementation manner of the aspect.

[0036] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the fault detection method described in the above aspect or any possible implementation manner of the aspect are executed.

[0037] The embodiments of the present application provide a method, device, equipment and storage medium for detecting a fault in a motor bearing. For each specific part in a plurality of specific parts, the fault characteristic order corresponding to the specific part is determined based on the parameter value of the target part of the motor bearing and the rotational speed of the motor rotor shaft; the torque and rotational speed of the motor are obtained based on the fault characteristic order; the vibration data of the motor bearing is determined based on the torque and rotational speed; the fault part in a plurality of specific parts is determined based on the vibration data and the fault characteristic order. In this way, the technical solution provided by the present application can not only reduce maintenance costs and improve efficiency, but also be easy to operate and highly feasible. In addition, the present application has good versatility and can be applied to the development stage of motor products, and is also applicable to other types of powertrain products.

[0038] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, preferred embodiments are specifically cited below and described in detail with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0040] Figure 1 A flow chart of a motor bearing fault detection method provided in an embodiment of the present application is shown;

[0041] Figure 2 A schematic structural diagram of a motor bearing fault detection device provided in an embodiment of the present application is shown;

[0042] Figure 3 A schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0043] To make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the drawings in the present application only serve the purpose of explanation and description and are not used to limit the scope of protection of the present application. In addition, it should be understood that the schematic drawings are not drawn in real proportion. The flowchart used in this application shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can be implemented out of sequence, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art, under the guidance of the content of the present application, can add one or more other operations to the flowchart, or remove one or more operations from the flowchart.

[0044] In addition, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0045] In order to enable those skilled in the art to use the contents of this application, the following implementation methods are given in combination with the specific application scenario "fault detection of motor bearings". For those skilled in the art, the general principles defined here can be applied to other embodiments and application scenarios without departing from the spirit and scope of this application.

[0046] The following methods, devices, electronic devices or computer-readable storage media of the embodiments of the present application can be applied to any scenario requiring motor bearing fault detection. The embodiments of the present application are not limited to specific application scenarios. Any scheme using a motor bearing fault detection method, device, equipment and storage medium provided by the embodiments of the present application is within the protection scope of the present application.

[0047] It should be noted that the term "comprising" will be used in the embodiments of the present application to indicate the existence of the features declared thereafter, but does not exclude the addition of other features.

[0048] Today, the powertrain of passenger cars tends to be electrified. Major automakers have invested in a variety of new energy models in the R&D and market. The market share of new energy models has risen rapidly. Due to the development of science and technology and the fierce competition among automakers, customers have increasingly higher requirements for vehicle driving comfort. In new energy vehicles, the noise and abnormal sound of the motor are one of the key factors affecting driving comfort. Although the motor noise has been optimized through simulation and testing during the product development stage, the insufficient dimensional accuracy of parts in production and wear during use have led to the failure of bearings and other components, causing order noise and abnormal sound. At present, there are two main ways to detect motor bearing faults: one is to detect the motor as a whole, and the other is to disassemble the motor and separate the bearing before testing. However, when testing the motor as a whole, it is impossible to lock in the specific faulty parts in the bearing. Disassembling the motor and separating the bearing before testing is not conducive to maintaining the state of the faulty bearing or reproducing the abnormal sound. In summary, there is currently no perfect detection method for motor bearing failures. It is impossible to quickly and accurately locate the bearing failure site, and there is also a problem of single testing equipment capabilities, which makes it impossible to take into account fault detection, off-line testing, and product development testing.

[0049] In view of the above problems, the embodiments of the present application provide a motor bearing fault detection method, device, equipment and storage medium, which can not only reduce maintenance costs and improve efficiency, but also be easy to operate and highly feasible. In addition, the present application has good versatility and can be applied to the development stage of motor products, and is also applicable to other types of powertrain products.

[0050] To facilitate the understanding of the present application, the technical solution provided by the present application is described in detail below in conjunction with specific embodiments.

[0051] See also Figure 1 , Figure 1 A flow chart of a motor bearing fault detection method provided in an embodiment of the present application.

[0052] In traditional fuel vehicles, the engine has a "masking effect" and other noises in the car are not easily noticed by customers. However, for new energy vehicles, especially pure electric vehicles, the noise and abnormal noise of the motor have become one of the key factors affecting driving comfort. Motor noise mainly includes order noise, resonance noise and PWM noise. Among them, order noise (usually referred to as "beep" abnormal noise) is related to the speed of the motor rotor and bearing; resonance noise depends on the structural characteristics of the motor itself; PWM noise is related to the current carrier frequency. In the development stage of motor products, the three types of noise have been prevented and optimized by means of simulation and experimental verification. However, after the product is launched on the market, due to the insufficient dimensional accuracy of parts such as the inner ring of the bearing, the outer ring of the bearing, the ball of the bearing and the cage of the bearing during the production process, these parts will fail due to wear after being installed and used for a period of time, which will cause motor order noise abnormal noise.

[0053] like Figure 1 As shown in the figure, the motor bearing fault detection method provided by the embodiment of the present application comprises:

[0054] Step S101, based on the parameter value of each specific part of a plurality of specific parts of a motor bearing and the rotation speed of the motor rotor shaft, determine the fault characteristic order corresponding to the specific part.

[0055] Here, the specific parts include an inner ring, an outer ring, balls, and a cage as examples.

[0056] Regarding step S101, in specific implementation, as an example, the following steps may be included:

[0057] First, for each of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, determine the vibration frequency corresponding to the specific part when the fault occurs. Here, as an example, the target part is a ball, and the parameter value of the target part includes at least one of the following items: ball diameter, ball contact angle, ball center circle diameter and number of balls, wherein the ball contact angle is the angle between the normal line at the contact point between the ball and the raceway and the radial plane of the motor bearing. The vibration frequency corresponding to each specific part when the fault occurs is shown in Table 1.

[0058] Table 1 The corresponding vibration frequency when each specific part fails

[0059]

[0060] As shown in Table 1, n is the speed of the motor rotor shaft, d is the ball diameter, α is the ball contact angle, and D mis the ball center circle diameter, z is the number of balls, f1 is the vibration frequency corresponding to the inner ring failure, f2 is the vibration frequency corresponding to the outer ring failure, f3 is the vibration frequency corresponding to the ball impact on one side of the raceway failure, f4 is the vibration frequency corresponding to the ball impact on both sides of the raceway failure, f5 is the vibration frequency corresponding to the friction between the cage and the outer ring failure, and f6 is the vibration frequency corresponding to the friction between the cage and the inner ring failure.

[0061] Then, based on the vibration frequency and the rotation frequency of the motor rotor shaft, the fault feature order corresponding to the specific part is determined. Here, as an example, the fault feature order is the quotient of the vibration frequency and the rotation frequency of the motor rotor shaft. Following the above example, the fault feature order corresponding to each specific part when a fault occurs is shown in Table 2.

[0062] Table 2 The fault characteristic order corresponding to each specific part when a fault occurs

[0063]

[0064] As shown in Table 2, or1 is the vibration frequency corresponding to the inner ring failure, or2 is the vibration frequency corresponding to the outer ring failure, or3 is the vibration frequency corresponding to the ball impacting the single-sided raceway failure, or4 is the vibration frequency corresponding to the ball impacting the double-sided raceway failure, or5 is the vibration frequency corresponding to the friction between the cage and the outer ring failure, or6 is the vibration frequency corresponding to the friction between the cage and the inner ring failure. It can be seen from Table 2 that the failure of each specific part is not related to the speed of the motor rotor shaft.

[0065] Step S102: acquiring the torque and speed of the motor based on the fault feature order.

[0066] Here, it can be seen from the above results that the failure of each specific part is not related to the rotation speed of the motor rotor shaft, so the vehicle is started to obtain the torque and rotation speed of the actual vehicle motor being tested.

[0067] Step S103: determining vibration data of the motor bearing based on the torque and the rotational speed.

[0068] In this application, a test bench for collecting motor vibration data is constructed. The test bench includes a bench dynamometer, a battery simulator, a frequency converter, a connection transition plate, a torque speed sensor, a dynamometer base, a vibration sensor, a data acquisition system, and a bench control system. Among them, the bench dynamometer is used to simulate the wheel end load of the actual vehicle, thereby providing resistance for the output end of the motor to be tested; the battery simulator is used to simulate the power battery of the actual vehicle and supply power to the inverter of the motor to be tested; the frequency converter is used to supply power to the bench dynamometer; the connection transition plate is used to connect different components; the torque speed sensor is used to collect the torque and speed between the motor to be tested and the bench dynamometer; the dynamometer base is used to support the bench dynamometer; the vibration sensor is used to collect the vibration data of the motor to be tested; the data acquisition system is used to record the data measured by each sensor (such as a torque speed sensor and a vibration sensor, etc.) during the test; the bench control system is used to coordinate and control the operation of each component. The test bench is relatively simple in structure. In addition to being used to detect the faulty parts of the motor bearing, it can also be used in offline detection and development tests of motor products, etc., and has strong versatility.

[0069] Regarding step S103, in specific implementation, as an example, the following steps may be included:

[0070] First, the motor to be tested is installed on the test bench.

[0071] Then, the acquired torque and speed of the motor being tested are imported into the test bench.

[0072] Subsequently, the test bench is started to make the motor under test run according to the working conditions of the actual vehicle. At the same time, the data acquisition system of the test bench records the vibration data of the bearings on both sides of the motor of the actual vehicle. Here, in the embodiment of the present application, a vibration sensor is arranged on the motor of the actual vehicle, one at each end of the motor, corresponding to two bearing positions respectively. Specifically, the forward direction of the actual vehicle is the X-axis, and the direction perpendicular to the motor base is the Z-axis. Since the vibration amplitude along the Z-axis direction is the largest, the vibration sensor is placed along the Z-axis direction of the motor.

[0073] Finally, after the actual vehicle operating conditions are completed, the test bench is turned off, the motor being tested is removed, and the vibration data of the motor bearings is exported.

[0074] Step S104: determining a fault location among a plurality of specific locations based on the vibration data and the fault characteristic order.

[0075] Regarding step S104, in specific implementation, as an example, the following steps may be included:

[0076] First, the carrier frequency corresponding to the vibration data is obtained.

[0077] Then, based on the rotational speed, the carrier frequency and the vibration data, the vibration amplitude corresponding to the vibration data is determined. Here, the NVH analysis software is used to make a chart of the vibration signal. As an example, the chart is a color chart, and the maximum value of the horizontal axis of the color chart is the maximum value of the carrier frequency of the motor, and the maximum value of the vertical axis is the maximum speed among the speeds. For vibration data, different carrier frequency and rotational speed combinations will correspond to different vibration amplitudes. The vibration amplitude is represented by the depth of color or the change of color. A larger amplitude may be represented by a brighter or warmer color (such as red), and a smaller amplitude may be represented by a darker or colder color (such as blue).

[0078] Subsequently, based on the vibration amplitude and the fault characteristic order, it is determined whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part, and the determination result is displayed in the chart. Here, following the above example, based on the fault characteristic order of each specific part, the straight line position corresponding to the fault characteristic order of each specific part is determined in the color map. Specifically, if the corresponding fault vibration order when a specific part fails is Or, in the color map, the vertical axis is the motor speed n, and the horizontal axis is the motor carrier frequency coordinate system, the equation of the order line can be expressed as f=Or×n, and its slope is determined by the fault characteristic order Or. Based on the fault characteristic order line of each specific part, it is determined whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part, and the determination result is displayed in the chart. Following the above example, it is determined whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part by the color of the vibration data.

[0079] Finally, in response to the determination result displayed in the graph, if the vibration amplitude exceeds the normal vibration amplitude range of the specific part, the specific part is determined to be a faulty part among multiple specific parts. Here, following the above example, the fault characteristic order line of each specific part is observed. Since the color of the vibration data represents its amplitude, if there is a highlighted area near the fault characteristic order line (such as a red area, indicating a larger amplitude), it is determined that there is a fault in the specific part corresponding to the fault characteristic order. As an example, the fault characteristic order of the inner ring of the motor bearing is 0.86. In the color map, it is observed that the area near the fault characteristic order line corresponding to 0.86 is highlighted, and the fault part can be determined to be the inner ring of the motor bearing.

[0080] As an example, the motor bearing fault detection method of the present application can be applied to the following two situations:

[0081] In the first case, the motor bearing fault detection method of the present application is applied when an abnormal noise occurs in the motor.

[0082] In the second case, the motor bearing fault detection method of the present application is applied to the off-line detection of the motor bearing.

[0083] For the first case, first, for each specific part among the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotational speed of the motor rotor shaft, determine the fault characteristic order corresponding to the specific part. Then, based on the fault characteristic order, obtain the torque and rotational speed of the motor during the time period when the abnormal noise occurs. Here, start the vehicle equipped with the abnormal noise motor, reproduce the motor fault, and obtain the torque and rotational speed of the motor during the time period when the abnormal noise occurs. Subsequently, based on the torque and rotational speed, determine the vibration data of the motor bearing. Finally, based on the vibration data and the fault characteristic order, determine the faulty part among the multiple specific parts.

[0084] For the second case, first, for each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, the fault characteristic order corresponding to the specific part is determined.

[0085] Then, based on the fault characteristic order, the torque and speed of the motor under specific working conditions are obtained. Here, five working conditions are set, each of which is a constant torque working condition, the speed of the motor is a uniform speed increase, and the speed range is from the start to the maximum driving speed of the actual vehicle. The torque of the five working conditions increases according to a uniform gradient. At the same time, the corresponding speed increase time gradually decreases, and the working condition points should not be set too much. As an example, the corresponding fault characteristic order when a fault occurs in each specific part is shown in Table 3.

[0086] Table 3 Torque, speed and acceleration time of the motor in each working condition

[0087]

[0088] As shown in Table 3, n max is the maximum speed of the motor, T max It is the maximum torque of the motor at the highest speed.

[0089] Subsequently, based on the torque and the rotational speed, vibration data of the motor bearing is determined.

[0090] Finally, based on the vibration data and the fault characteristic order, a fault location among a plurality of specific locations is determined.

[0091] The present application provides a motor bearing fault detection method, which can not only reduce maintenance costs and improve efficiency, but also be easy to operate and highly feasible. In addition, the present application has good versatility and can be applied to the development stage of motor products, and is also applicable to other types of powertrain products.

[0092] Based on the same application concept, the embodiments of the present application also provide a motor bearing fault detection device corresponding to the motor bearing fault detection method provided in the above embodiments. Since the principle of solving the problem by the device in the embodiments of the present application is similar to the motor bearing fault detection method in the above embodiments of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0093] See also Figure 2 , Figure 2 A schematic structural diagram of a motor bearing fault detection device provided in an embodiment of the present application.

[0094] like Figure 2 As shown in , the fault detection device 210 includes:

[0095] A fault characteristic order determination module 211 determines, for each specific part of the multiple specific parts, a fault characteristic order corresponding to the specific part based on a parameter value of a target part of the motor bearing and a rotation speed of a motor rotor shaft;

[0096] An acquisition module 212, based on the fault feature order, acquires the torque and speed of the motor;

[0097] A vibration data determination module 213 determines vibration data of the motor bearing based on the torque and the rotational speed;

[0098] The fault location determination module 214 determines a fault location among a plurality of specific locations based on the vibration data and the fault characteristic order.

[0099] Preferably, the vibration data determination module 213 is specifically used for:

[0100] For each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotational speed of the motor rotor shaft, the vibration frequency corresponding to the specific part when a fault occurs is determined; based on the vibration frequency and the rotational frequency of the motor rotor shaft, the fault characteristic order corresponding to the specific part is determined.

[0101] Preferably, the fault location determination module 214 is specifically used for:

[0102] Acquire a carrier frequency corresponding to the vibration data; determine a vibration amplitude corresponding to the vibration data based on the rotational speed, the carrier frequency and the vibration data; determine whether the vibration amplitude exceeds a normal vibration amplitude range of the specific part based on the vibration amplitude and the fault characteristic order, and display the determination result in a chart; in response to the determination result displayed in the chart, if the vibration amplitude exceeds a normal vibration amplitude range of the specific part, determine that the specific part is a faulty part among multiple specific parts.

[0103] Preferably, the maximum value of the horizontal axis of the graph is the maximum value of the carrier frequency of the motor; and the maximum value of the vertical axis of the graph is the maximum speed among the speeds.

[0104] The present application provides a motor bearing fault detection device, which can not only reduce maintenance costs and improve efficiency, but also be easy to operate and highly feasible. In addition, the present application has good versatility and can be applied to the development stage of motor products, and is also applicable to other types of powertrain products.

[0105] The present application provides a motor bearing fault detection device, which can not only reduce maintenance costs and improve efficiency, but also be easy to operate and highly feasible. In addition, the present application has good versatility and can be applied to the development stage of motor products, and is also applicable to other types of powertrain products.

[0106] See also Figure 3 , Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0107] like Figure 3 As shown in , the electronic device 300 includes a processor 310 , a memory 320 and a bus 330 .

[0108] The memory 320 stores machine-readable instructions executable by the processor 310. When the electronic device 300 is running, the processor 310 communicates with the memory 320 via the bus 330. When the machine-readable instructions are executed by the processor 310, the above-mentioned Figure 1 The steps of the motor bearing fault detection method in the method embodiment shown and the specific implementation method thereof can be referred to the method embodiment, which will not be described in detail here.

[0109] The present application also provides a computer-readable storage medium on which a computer program is stored. The computer program can be executed as described above when the processor runs it. Figure 1 The steps of the motor bearing fault detection method in the method embodiment shown and the specific implementation method thereof can be referred to the method embodiment, which will not be described in detail here.

[0110] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, the specific working process of the system and device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here. In the several embodiments provided in the present application, it should be understood that the disclosed system, device and method can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0111] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0112] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0113] If the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0114] The above are only specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for detecting a fault of a motor bearing, characterized in that: The fault detection method comprises: For each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, determine the fault characteristic order corresponding to the specific part; Based on the fault characteristic order, obtaining the torque and speed of the motor; Based on the torque and the speed, determining vibration data of the motor bearing; A fault location among a plurality of specific locations is determined based on the vibration data and the fault characteristic order.

2. The fault detection method according to claim 1, characterized in that: The method of determining, for each specific part of the multiple specific parts, a fault characteristic order corresponding to the specific part based on a parameter value of a target part of the motor bearing and a rotation speed of a motor rotor shaft, comprises: For each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, determine the vibration frequency corresponding to the specific part when a fault occurs; Based on the vibration frequency and the rotation frequency of the motor rotor shaft, the fault characteristic order corresponding to the specific part is determined.

3. The fault detection method according to claim 1, characterized in that: The determining of the fault location among a plurality of specific locations based on the vibration data and the fault characteristic order comprises: Acquire a carrier frequency corresponding to the vibration data; Based on the rotation speed, the carrier frequency and the vibration data, determining a vibration amplitude corresponding to the vibration data; Based on the vibration amplitude and the fault characteristic order, determining whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part, and displaying the determination result in a chart; In response to the determination result displayed in the graph, if the vibration amplitude exceeds the normal vibration amplitude range of the specific part, the specific part is determined to be a faulty part among the multiple specific parts.

4. The fault detection method according to claim 3, characterized in that: The maximum value of the horizontal axis of the graph is the maximum value of the carrier frequency of the motor; The maximum value on the vertical axis of the graph is the maximum rotational speed among the rotational speeds.

5. A motor bearing fault detection device, characterized in that: The fault detection device comprises: A fault characteristic order determination module determines, for each specific part of the multiple specific parts, a fault characteristic order corresponding to the specific part based on a parameter value of a target part of the motor bearing and a rotation speed of a motor rotor shaft; An acquisition module, which acquires the torque and speed of the motor based on the fault feature order; A vibration data determination module, which determines vibration data of the motor bearing based on the torque and the rotational speed; The fault location determination module determines the fault location among a plurality of specific locations based on the vibration data and the fault characteristic order.

6. The fault detection device according to claim 5, characterized in that: The vibration data determination module is specifically used for: For each specific part of the multiple specific parts, based on the parameter value of the target part of the motor bearing and the rotation speed of the motor rotor shaft, determine the vibration frequency corresponding to the specific part when a fault occurs; Based on the vibration frequency and the rotation frequency of the motor rotor shaft, the fault characteristic order corresponding to the specific part is determined.

7. The fault detection device according to claim 5, characterized in that: The fault location determination module is specifically used for: Acquire a carrier frequency corresponding to the vibration data; Based on the rotation speed, the carrier frequency and the vibration data, determining a vibration amplitude corresponding to the vibration data; Based on the vibration amplitude and the fault characteristic order, determining whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part, and displaying the determination result in a chart; In response to the determination result displayed in the graph, if the vibration amplitude exceeds the normal vibration amplitude range of the specific part, the specific part is determined to be a faulty part among the multiple specific parts.

8. The fault detection device according to claim 7, characterized in that: The maximum value of the horizontal axis of the graph is the maximum value of the carrier frequency of the motor; The maximum value on the vertical axis of the graph is the maximum rotational speed among the rotational speeds.

9. An electronic device, characterized in that: include: A processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor and the memory communicate through the bus, and the machine-readable instructions are executed by the processor to execute the steps of the fault detection method as described in any one of claims 1 to 4.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the fault detection method according to any one of claims 1 to 4 are executed.

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