A motor bearing fault detection method, device, equipment and storage medium

Abstract

The application provides a motor bearing fault detection method, device, equipment and storage medium. The fault detection method comprises: for each specific part in a plurality of specific parts, determining a fault characteristic order corresponding to the specific part based on a parameter value of a target part of a motor bearing and a rotating speed of a motor rotor shaft; obtaining a torque and a rotating speed of the motor based on the fault characteristic order; determining vibration data of the motor bearing based on the torque and the rotating speed; and determining a fault part in the plurality of specific parts based on the vibration data and the fault characteristic order. The technical solution provided by the application can not only reduce maintenance costs and improve efficiency, but also is simple to operate and has strong realizability. In addition, the application has good universality and can be applied to the development stage of motor products. It is also applicable to other types of powertrain products.

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

[0002] Today's passenger car powertrain tends to be electrified, and major car companies invest in various new energy vehicle models at the research and development end and the market end. The market share of new energy vehicle models is rapidly rising. Due to the fierce competition between technology development and car companies, customers' requirements for vehicle ride comfort are increasing. In new energy vehicles, motor noise and abnormal sound are one of the key factors affecting ride comfort. Although motor noise has been optimized through simulation and testing during the product development stage, due to insufficient size accuracy of parts in production and wear during use, bearing and other components fail, causing order noise and abnormal sound. Currently, there are two ways to detect motor bearing faults: one is to detect the entire motor, and the other is to separate the bearing after disassembling the motor and then perform detection.

[0003] However, when detecting the entire motor, it is not possible to lock the specific fault parts inside the bearing. Separating the bearing after disassembling the motor and then performing detection is not conducive to maintaining the state of the faulty bearing and is not conducive to abnormal sound reproduction. In summary, there is currently no perfect detection method for motor bearing faults, which cannot quickly and accurately locate the bearing fault position, and there is a problem of single test equipment capacity, which cannot meet the needs of fault detection, offline detection and product development testing. SUMMARY

[0004] Therefore, the purpose of the embodiments of the present application is to provide a motor bearing fault detection method, device, equipment and storage medium, which not only can reduce maintenance cost and improve efficiency, but also is simple to operate and has strong realizability. In addition, the present application has good universality and can be applied to the development stage of motor products. It is also applicable to other types of powertrain products. The present application mainly includes the following aspects:

[0005] In a first aspect, the embodiments of the present application provide a motor bearing fault detection method, which comprises:

[0006] For each specific position in the plurality of specific positions, based on the parameter value of the target position of the motor bearing and the rotating speed of the motor rotor shaft, a fault characteristic order corresponding to the specific position is determined;

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

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

[0009] determine a fault position in the plurality of specific positions based on the vibration data and the fault characteristic order.

[0010] Preferably, the method further comprises:

[0011] determining, for each specific position in the plurality of specific positions, a vibration frequency corresponding to a fault of the specific position based on the parameter value of the target position of the motor bearing and the rotating speed of the motor rotor shaft.

[0012] determining, for each specific position in the plurality of specific positions, a vibration frequency corresponding to a fault of the specific position based on the parameter value of the target position of the motor bearing and the rotating speed of the motor rotor shaft.

[0013] Preferably, the method further comprises:

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

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

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

[0017] in response to the determination result displayed in the graph, if the vibration amplitude exceeds the normal vibration amplitude range of the specific position, determining that the specific position is a fault position in the plurality of specific positions.

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

[0019] a maximum value of a vertical axis of the graph is a maximum rotating speed in the rotating speed.

[0020] In a second aspect, the embodiments of the present application further provide a motor bearing fault detection device, which comprises:

[0021] a fault characteristic order determination module, configured to determine, for each specific position in the plurality of specific positions, a fault characteristic order corresponding to the specific position based on a parameter value of a target position of the motor bearing and a rotating speed of the motor rotor shaft.

[0022] an obtaining module, configured to obtain a torque and a rotating speed of the motor based on the fault characteristic order.

[0023] determine vibration data of the motor bearing based on the torque and the rotating speed;

[0024] determine a fault position in the plurality of specific positions based on the vibration data and the fault characteristic order.

[0025] Preferably, the vibration data determining module is specifically configured to:

[0026] For each specific position in the plurality of specific positions, determine a corresponding vibration frequency when the specific position is faulty based on a parameter value of a target position of the motor bearing and the rotating speed of the motor rotor shaft;

[0027] determine a corresponding fault characteristic order of the specific position based on the vibration frequency and the rotating frequency of the motor rotor shaft.

[0028] Preferably, the fault position determining module is specifically configured to:

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

[0030] determine a vibration amplitude corresponding to the vibration data based on the rotating speed, the carrier frequency and the vibration data;

[0031] determine whether the vibration amplitude exceeds a normal vibration amplitude range of the specific position based on the vibration amplitude and the fault characteristic order, and display the determination result in a graph;

[0032] In response to the determination result displayed in the graph, if the vibration amplitude exceeds the normal vibration amplitude range of the specific position, determine that the specific position is a fault position in the plurality of specific positions.

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

[0034] a maximum value of a vertical axis of the graph is a maximum rotating speed in the rotating speed.

[0035] In a third aspect, an electronic device is provided, including a processor, a memory and a bus, the memory stores 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 perform the steps of the fault detection method in the above aspect or any possible implementation manner of the aspect.

[0036] In a fourth aspect, the embodiments of the present application further provide a computer readable storage medium, having stored thereon a computer program, which, when run on a processor, performs the steps of the fault detection method according to the above aspect or any possible implementation thereof.

[0037] The embodiments of the present application provide a motor bearing fault detection method, device, equipment and storage medium. For each specific part of a plurality of specific parts, a fault characteristic order corresponding to the specific part is determined based on a parameter value of a target part of a motor bearing and a rotating speed of a motor rotor shaft. A torque and a rotating speed of the motor are obtained based on the fault characteristic order. Vibration data of the motor bearing is determined based on the torque and the rotating speed. A fault part of the plurality of specific parts is determined based on the vibration data and the fault characteristic order. Thus, the technical solution provided by the present application can not only reduce maintenance cost and improve efficiency, but also is simple to operate and has strong realizability. In addition, the present application has good universality 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 objectives, characteristics and advantages of the present application more apparent, clear and easy to understand, the following will specifically describe a preferred embodiment in conjunction with the accompanying drawings, and the detailed description is as follows. BRIEF DESCRIPTION OF DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be considered as a limitation to the scope. For those skilled in the art, other related drawings can also be obtained without creative labor on the basis of these drawings.

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

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

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

[0043] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present application with reference to 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 description and illustration, 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 according to the actual proportions. The flowchart shows the operations implemented according to some embodiments of the present application. It should be understood that the operations of the flowchart can not be implemented in sequence, and the steps without logical context relationship can be reversed in sequence or implemented simultaneously. In addition, one or more other operations can be added to the flowchart or one or more operations can be removed from the flowchart under the guidance of the content of the present application.

[0044] In addition, the described embodiments are only some of the embodiments of the present application, not all the embodiments. The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different 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 claimed present application, but only represents 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 creative labor fall within the scope of protection of the present application.

[0045] In order to enable those skilled in the art to use the content of the present application, the following implementation is given in combination with a specific application scenario "fault detection of motor bearing", and those skilled in the art can apply the general principles defined herein to other embodiments and application scenarios without departing from the spirit and scope of the present application.

[0046] The method, device, electronic equipment or computer readable storage medium described in the embodiments of the present application can be applied to any scene requiring fault detection of motor bearing, and the embodiments of the present application do not limit the specific application scenario. Any solution using the method, device, equipment and storage medium provided by the embodiments of the present application for fault detection of motor bearing is within the scope of protection 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 presence of the features declared thereafter, but does not exclude the addition of other features.

[0048] With the electrification of powertrains in today's passenger vehicles, major automakers are investing in research and development and the market side with a variety of new energy vehicles, and the market share of new energy vehicles is rapidly rising. Due to the development of technology and fierce competition between automakers, customers' requirements for vehicle ride comfort are increasing. In new energy vehicles, motor noise and abnormal sound are one of the key factors affecting ride comfort. Although motor noise has been optimized through simulation and testing in the product development stage, due to insufficient size accuracy of parts in production and wear in use, bearing and other components fail, causing order noise and abnormal sound. Currently, there are two ways to detect motor bearing faults: one is to detect the entire motor, and the other is to separate the bearing after disassembling the motor and then detect it. However, when detecting the entire motor, it is not possible to lock the specific fault parts inside the bearing. Disassembling the motor to separate the bearing and then conducting detection work is not conducive to maintaining the state of the faulty bearing, nor is it conducive to abnormal sound reproduction. In summary, there is no perfect detection method for motor bearing faults at present, which cannot quickly and accurately locate the bearing fault position, and the test equipment capacity is single, which cannot meet the needs of fault detection, offline detection and product development testing.

[0049] To solve 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 cost and improve efficiency, but also is simple to operate and has strong realizability. In addition, the present application has good universality and can be applied to the development stage of motor products, and is also suitable for other types of powertrain products.

[0050] In order to facilitate the understanding of the present application, the technical solutions provided by the present application will be described in detail below in conjunction with specific embodiments.

[0051] Please refer to Figure 1 , Figure 1 The flowchart of a motor bearing fault detection method provided by the embodiments of the present application.

[0052] In traditional fuel vehicles, the engine has a "masking effect", and other noises in the vehicle are not easy to be perceived by customers. However, for new energy vehicles, especially pure electric vehicles, the noise and abnormal sound of the motor have become one of the key factors affecting the driving comfort. The motor noise mainly includes order noise, resonance noise and PWM noise. Among them, the order noise (usually referred to as "dudu" abnormal sound) is related to the speed of the motor rotor and bearing; the resonance noise depends on the structural characteristics of the motor itself; the PWM noise is related to the current carrier frequency. In the development stage of the motor product, the three kinds of noise have been prevented and optimized by means of simulation and test verification. However, after the product is put 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 retainer of the bearing in the production process, these parts will fail due to wear after being used for a period of time, thereby causing the motor order noise abnormality.

[0053] As shown in Figure 1 The motor bearing fault detection method provided by the embodiments of the present application comprises:

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

[0055] Here, as an example, the specific parts include the inner ring, the outer ring, the ball and the retainer.

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

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

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

[0059]

[0060] As shown in Table 1, n is the rotating speed of the motor rotor shaft, d is the ball diameter, a is the ball contact angle, D mis the ball center circle diameter, z is the number of balls, 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 single-sided raceway failure of the ball impact, or4 is the vibration frequency corresponding to the double-sided raceway failure of the ball impact, or5 is the vibration frequency corresponding to the cage and outer ring friction failure, and or6 is the vibration frequency corresponding to the cage and inner ring friction failure.

[0061] Then, 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. Here, as an example, the fault characteristic order is the quotient of the vibration frequency and the rotation frequency of the motor rotor shaft, and then according to the above example, the fault characteristic orders corresponding to the failure of each specific part are shown in Table 2.

[0062] Table 2 Fault characteristic orders corresponding to the failure of each specific part

[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 single-sided raceway failure of the ball impact, or4 is the vibration frequency corresponding to the double-sided raceway failure of the ball impact, or5 is the vibration frequency corresponding to the cage and outer ring friction failure, and or6 is the vibration frequency corresponding to the cage and inner ring friction failure. As can be seen from Table 2, the failure of each specific part is independent of the rotation speed of the motor rotor shaft.

[0065] Step S102, based on the fault characteristic order, the torque and the rotation speed of the motor are obtained.

[0066] Here, according to the above results, the failure of each specific part is independent of the rotation speed of the motor rotor shaft, so the torque and the rotation speed of the detected real vehicle motor are obtained by starting the vehicle.

[0067] Step S103, based on the torque and the rotation speed, the vibration data of the motor bearing is determined.

[0068] In the present 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 real vehicle, thereby providing resistance for the output end of the motor to be detected; the battery simulator is used to simulate the power battery of the real vehicle, and supply power to the inverter of the motor to be detected; 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 detected 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 detected; the data acquisition system is used to record the data measured by each sensor (such as the torque speed sensor and the vibration sensor) during the test; and the bench control system is used to coordinate and control the operation of each component. The test bench is relatively simple in structure, and in addition to being used for detecting the fault position of the motor bearing, it can also be applied to offline detection and development test of motor products, and has strong universality.

[0069] As to step S103, in the specific implementation, as an example, the following steps can be included:

[0070] Firstly, the motor to be detected is installed on the test bench.

[0071] Then, the torque and speed of the motor to be detected obtained are introduced into the test bench.

[0072] Subsequently, the test bench is started, the motor to be detected is operated according to the real vehicle working condition, and the vibration data of the bearings on both sides of the real vehicle motor are recorded by the data acquisition system of the test bench. Herein, in the embodiment of the present application, the vibration sensors are arranged on the real vehicle motor, one on each end, corresponding to the positions of the two bearings respectively. Specifically, taking the forward direction of the real vehicle as the X axis and the direction perpendicular to the motor base as the Z axis, the vibration sensor is placed along the Z axis direction of the motor because the vibration amplitude along the Z axis direction is the largest.

[0073] Finally, after the real vehicle working condition operation is completed, the test bench is turned off, the motor to be detected is removed, and the vibration data of the motor bearings are exported.

[0074] Step S104, determining the fault position in the plurality of specific positions based on the vibration data and the fault characteristic order.

[0075] As to step S104, in the specific implementation, as an example, the following steps can be included:

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

[0077] Then, based on the rotation speed, the carrier frequency and the vibration data, a vibration amplitude corresponding to the vibration data is determined. Here, a graph of the vibration signal is made by using NVH analysis software, and as an example, the graph is a color graph, with a maximum value of the horizontal axis being a maximum value of the carrier frequency of the motor and a maximum value of the vertical axis being a maximum rotation speed in the rotation speed. Different combinations of carrier frequency and rotation speed correspond to different vibration amplitudes for the vibration data, and the vibration amplitudes are represented by the depth or color change of the color, with a larger amplitude being represented by a brighter or warmer color (such as red) and a smaller amplitude being represented by a darker or cooler 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 graph. Here, continuing with 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 graph. Specifically, if the corresponding fault vibration order of a specific part is Or when the specific part fails, the equation of the order line in the color graph with the vertical axis as the rotation speed n of the motor and the horizontal axis as the carrier frequency of the motor can be expressed as f = Or x n, and the 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 graph. Continuing with the above example, whether the vibration amplitude exceeds the normal vibration amplitude range of the specific part is determined 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 the fault part among the plurality of specific parts. Here, continuing with the above example, the fault characteristic order line of each specific part is observed, and since the color of the vibration data represents the amplitude, if there is a highlighted area (such as a red area, indicating a larger amplitude) near the fault characteristic order line, it is determined that the specific part corresponding to the fault characteristic order has a fault. As an example, the fault characteristic order of the inner ring of the motor bearing is 0.86, and a highlighted area is observed near the fault characteristic order line corresponding to 0.86 in the color graph, so it is determined that the fault part is 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 cases:

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

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

[0083] For the first case, first, for each specific part of the 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 rotating speed of the motor rotor shaft. Then, based on the fault characteristic order, the torque and rotating speed of the motor in the abnormal sound period are obtained. Here, the vehicle equipped with the abnormal motor is started to reproduce the motor fault, and the torque and rotating speed of the motor in the abnormal sound period are obtained. Subsequently, based on the torque and rotating speed, the vibration data of the motor bearing is determined. Finally, based on the vibration data and the fault characteristic order, the fault part in the plurality of specific parts is determined.

[0084] For the second case, first, for each specific part of the 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 rotating speed of the motor rotor shaft.

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

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

[0087]

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

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

[0090] Finally, based on the vibration data and the fault characteristic order, the fault part in the plurality of specific parts is determined.

[0091] The motor bearing fault detection method provided by the embodiment of the application can not only reduce maintenance cost and improve efficiency, but also is simple to operate and has strong realizability. In addition, the application has good universality 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 application also provides a motor bearing fault detection device corresponding to the motor bearing fault detection method provided in the above embodiment. Since the principle of solving problems in the device of the application is similar to the motor bearing fault detection method of the above embodiment of the application, the implementation of the device can be referred to the implementation of the method, and the repeated parts will not be described here.

[0093] Please refer to Figure 2 , Figure 2 The structure diagram of a motor bearing fault detection device provided in the application.

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

[0095] A fault feature order determination module 211 determines, for each of the plurality of specific positions, a fault feature order corresponding to the specific position based on the parameter value of the target position of the motor bearing and the rotation speed of the motor rotor shaft.

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

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

[0098] A fault position determination module 214 determines a fault position in the plurality of specific positions based on the vibration data and the fault feature order.

[0099] Preferably, the vibration data determination module 213 is specifically configured to:

[0100] For each of the plurality of specific positions, determine a vibration frequency corresponding to the specific position when the specific position fails based on the parameter value of the target position of the motor bearing and the rotation speed of the motor rotor shaft; and determine a fault feature order corresponding to the specific position based on the vibration frequency and the rotation frequency of the motor rotor shaft.

[0101] Preferably, the fault position determination module 214 is specifically configured to:

[0102] Acquire a carrier frequency corresponding to the vibration data; determine a vibration amplitude corresponding to the vibration data based on the rotation speed, the carrier frequency and the vibration data; determine whether the vibration amplitude exceeds a normal vibration amplitude range of the specific position based on the vibration amplitude and the fault feature order, and display the determination result in a chart; and in response to the determination result displayed in the chart, if the vibration amplitude exceeds the normal vibration amplitude range of the specific position, determine that the specific position is a fault position in the plurality of specific positions.

[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 value of the rotation speed.

[0104] The motor bearing fault detection device provided by the embodiment of the present application can not only reduce maintenance cost and improve efficiency, but also is simple to operate and has strong realizability. In addition, the present application has good universality and can be applied to the development stage of motor products and is also applicable to other types of power assembly products.

[0105] The motor bearing fault detection device provided by the embodiment of the present application can not only reduce maintenance cost and improve efficiency, but also is simple to operate and has strong realizability. In addition, the present application has good universality and can be applied to the development stage of motor products and is also applicable to other types of power assembly products.

[0106] Please refer to Figure 3 , Figure 3 The structural schematic diagram of the electronic device provided by the embodiment of the present application is shown.

[0107] As shown in Figure 3 , 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 and the memory 320 communicate through the bus 330. When the machine readable instructions are executed by the processor 310, the steps of the motor bearing fault detection method in the method embodiment shown in the above Figure 1 The specific implementation can be referred to the method embodiment, which will not be described here.

[0109] The embodiment of the present application further provides a computer readable storage medium, and the computer readable storage medium stores a computer program. When the computer program is run by a processor, the steps of the motor bearing fault detection method in the method embodiment shown in the above Figure 1 The specific implementation can be referred to the method embodiment, which will not be described here.

[0110] Those skilled in the art can clearly understand that, for the convenience and brevity of the description, the specific working process of the system and the device described above can refer to the corresponding process in the foregoing method embodiment, and will not be repeated here. In 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 only schematic, for example, the division of the units is only a logical function division, and there can be another division manner in actual implementation, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some communication interfaces, devices or units, and can be electrical, mechanical or other forms.

[0111] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, i.e., can be located in one place or can be distributed on a plurality of network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.

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

[0113] If the functions are realized in the form of software function units and sold or used as independent products, they can be stored in a non-volatile computer readable storage medium executable by a processor. Based on this understanding, the technical solutions of the present application essentially or the parts of the prior art or the parts of the technical solutions can be embodied in the form of software products, and the computer software products are stored in a storage medium, including a plurality of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The foregoing storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk, and various program code storage media.

[0114] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any person skilled in the art can easily think of changes or replacements within the technical range disclosed in the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A method for fault detection of motor bearings, characterized in that, The fault detection method includes: For each of the multiple specific parts, based on the parameter values ​​of the target part of the motor bearing and the rotational speed of the motor rotor shaft, the fault characteristic order corresponding to that specific part is determined; Based on the fault characteristic order, the torque and speed of the motor during the period when the abnormal noise occurred are obtained; Based on the torque and rotational speed, the vibration data of the motor bearings are determined; Based on the vibration data and the fault characteristic order, the fault location in multiple specific locations is determined. The determination of vibration data for the motor bearing based on the torque and rotational speed includes: The torque and speed are fed into the test bench to obtain the vibration data of the motor bearing output by the test bench; The determination of the fault location among multiple specific locations based on the vibration data and the fault characteristic order includes: Obtain the carrier frequency corresponding to the vibration data; Based on the rotational speed, the carrier frequency, and the vibration data, the vibration amplitude corresponding to the vibration data is determined; Based on the vibration amplitude and the fault characteristic order, determine whether there are any vibration amplitudes that exceed the normal vibration amplitude range of the specific location, and display the determination results in a chart; In response to the determination results shown in the chart, if any of the vibration amplitudes exceeds the normal vibration amplitude range of the specific location, then the specific location is determined to be a faulty location among multiple specific locations.

2. The fault detection method according to claim 1, characterized in that, For each of the multiple specific parts, based on the parameter values ​​of the target part of the motor bearing and the rotational speed of the motor rotor shaft, the fault characteristic order corresponding to that specific part is determined, including: For each of multiple specific parts, based on the parameter values ​​of the target part of the motor bearing and the rotational speed of the motor rotor shaft, determine the vibration frequency corresponding to the failure of that specific part; Based on the vibration frequency and the rotational frequency of the motor rotor shaft, the fault characteristic order corresponding to this specific part is determined.

3. The fault detection method according to claim 1, characterized in that, The maximum value on the horizontal axis of the chart is the maximum value of the motor's carrier frequency; The maximum value on the vertical axis of the chart is the maximum speed among the speeds.

4. A fault detection device for motor bearings, characterized in that, The fault detection device includes: The fault characteristic order determination module determines the fault characteristic order corresponding to each of the multiple specific parts based on the parameter values ​​of the target part of the motor bearing and the rotational speed of the motor rotor shaft. The acquisition module acquires the torque and speed of the motor during the period when the abnormal noise occurs, based on the fault characteristic order. The vibration data determination module determines the vibration data of the motor bearing based on the torque and rotational speed. The fault location determination module determines the fault location among multiple specific locations based on the vibration data and the fault characteristic order. The vibration data determination module is specifically used for: The torque and speed are fed into the test bench to obtain the vibration data of the motor bearing output by the test bench; The fault location determination module is specifically used for: Obtain the carrier frequency corresponding to the vibration data; Based on the rotational speed, the carrier frequency, and the vibration data, the vibration amplitude corresponding to the vibration data is determined; Based on the vibration amplitude and the fault characteristic order, determine whether there are any vibration amplitudes that exceed the normal vibration amplitude range of the specific location, and display the determination results in a chart; In response to the determination results shown in the chart, if any of the vibration amplitudes exceeds the normal vibration amplitude range of the specific location, then the specific location is determined to be a faulty location among multiple specific locations.

5. The fault detection device according to claim 4, characterized in that, The vibration data determination module is specifically used for; For each of multiple specific parts, based on the parameter values ​​of the target part of the motor bearing and the rotational speed of the motor rotor shaft, determine the vibration frequency corresponding to the failure of that specific part; Based on the vibration frequency and the rotational frequency of the motor rotor shaft, the fault characteristic order corresponding to this specific part is determined.

6. The fault detection device according to claim 4, characterized in that, The maximum value on the horizontal axis of the chart is the maximum value of the motor's carrier frequency; The maximum value on the vertical axis of the chart is the maximum speed among the speeds.

7. An electronic device, characterized in that, include: The device includes a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the memory via the bus, and the machine-readable instructions are executed by the processor to perform the steps of the fault detection method as described in any one of claims 1 to 3.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the fault detection method as described in any one of claims 1 to 3.

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