Bearing abnormal sound diagnosis method, device and equipment and storage medium

By analyzing the primary and secondary and order comparison of bearing noise, the source of abnormal noise of bearings is quickly identified, which solves the problem of the problem of rapid locking of abnormal noise of bearings in the existing technology, and improves the efficiency of problem investigation.

CN119249168APending Publication Date: 2025-01-03VOYAH AUTOMOBILE TECH CO LTD
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Patent Information

Application Number
CN202411403647.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-09
Publication Date
2025-01-03

AI Technical Summary

Technical Problem

The prior art cannot quickly lock the source of abnormal noise when the bearings in a vehicle are abnormally sounded, which leads to time-consuming and labor-intensive investigation of problems.

Method used

By analyzing the primary order and order comparison of bearing noise and determining abnormal bearings and faulty components according to the bearing order mapping relationship, the noise source is quickly identified.

Benefits of technology

It realizes rapid identification of bearing abnormal noise and efficient locking of faulty parts, saves problem detection time and improves vehicle maintenance efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a bearing abnormal sound diagnosis method, device and equipment and a storage medium, and relates to the technical field of noise, and the method comprises the steps: when a vehicle has bearing abnormal sound noise, analyzing the bearing abnormal sound noise, and determining the main order of the bearing noise; order comparison is carried out according to the bearing order mapping relation of all the bearings on the vehicle and the bearing noise main order, the bearing order mapping relation is used for representing the mapping relation between all parts of the bearings and the order, and an order comparison result is determined; determining an abnormal bearing and a fault component corresponding to the abnormal bearing according to an order comparison result; and determining the noise source of the abnormal noise of the bearing according to the abnormal bearing and the fault component corresponding to the abnormal bearing. Through the above mode, the abnormal noise of the bearing is analyzed, the main order of the noise of the bearing is determined, the abnormal noise source and the fault part of the bearing can be rapidly identified, the problem source is efficiently and accurately locked, and the problem checking time is saved for subsequent after-sales problem processing.
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Description

Technical Field

[0001] The present application relates to the field of noise technology, and in particular to a method, device, equipment and storage medium for diagnosing abnormal noise of a bearing. Background Art

[0002] When abnormal noise is heard from the bearings of a vehicle, it is necessary to identify the specific parts before disassembling and replacing them. Since there are multiple bearings on a vehicle, and they all make a humming sound, the data shows that the sound of a certain frequency band is more prominent. The existing diagnostic method is based on vibration. By comparing the vibration characteristics of the faulty parts with the noise characteristics inside the vehicle, the problem parts can be identified only if they are correlated. This method requires sticking vibration sensors on the rotating parts, and locating the source of the problem is time-consuming and labor-intensive, and it is impossible to quickly identify the source of the problem at the vehicle stage. Summary of the invention

[0003] The main purpose of this application is to provide a bearing abnormal noise diagnosis method, device, equipment and storage medium, aiming to solve the technical problem in the prior art that when a vehicle has a bearing abnormal noise, the source of the noise cannot be quickly located.

[0004] To achieve the above objectives, the present application proposes a bearing abnormal noise diagnosis method, the bearing abnormal noise diagnosis method comprising:

[0005] When the vehicle has abnormal bearing noise, the abnormal bearing noise is analyzed to determine the main order of the bearing noise;

[0006] Performing order comparison according to the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, wherein the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determining the order comparison result;

[0007] Determine the abnormal bearing and the faulty component corresponding to the abnormal bearing according to the order comparison result;

[0008] The noise source of the abnormal bearing noise is determined according to the abnormal bearing and the faulty component corresponding to the abnormal bearing.

[0009] In one embodiment, when there is abnormal bearing noise in the vehicle, before the step of analyzing the abnormal bearing noise and determining the main order of the bearing noise, the method further includes:

[0010] When the vehicle has abnormal noise, the target speed range is determined based on the noise information collected when the vehicle is running;

[0011] Performing an in-vehicle noise test in the target vehicle speed range to determine noise test data corresponding to each test condition;

[0012] Analyze the noise test data corresponding to each test condition to obtain the test noise order corresponding to each speed;

[0013] When the test noise order corresponding to each rotation speed is a non-integer order, it is determined that the vehicle has abnormal bearing noise.

[0014] In one embodiment, the step of analyzing the noise test data corresponding to each test condition to obtain the test noise order corresponding to each speed includes:

[0015] Perform spectrum analysis on the noise test data corresponding to each test condition to generate a noise spectrum diagram corresponding to each test condition;

[0016] According to the noise spectrum corresponding to each test condition and each rotation speed within the target vehicle speed range, the test noise order corresponding to each rotation speed is determined.

[0017] In one embodiment, when there is abnormal bearing noise in the vehicle, the step of analyzing the abnormal bearing noise and determining the main order of the bearing noise includes:

[0018] When the vehicle has abnormal bearing noise, filter and analyze the noise spectrum corresponding to the abnormal bearing noise to determine the target noise frequency band;

[0019] Compare each noise frequency point in the target noise frequency band with the rotation speed corresponding to each noise frequency point to determine the noise order corresponding to each noise frequency point;

[0020] The order calculation is performed according to the noise order corresponding to each noise frequency point to determine the main order of the bearing noise.

[0021] In one embodiment, the step of calculating the order according to the noise order corresponding to each noise frequency point to determine the main order of the bearing noise includes:

[0022] Calculating the difference between noise orders corresponding to adjacent noise frequency points in the target noise frequency band to obtain a plurality of adjacent order differences;

[0023] When there are more than a preset number of adjacent order differences within the error range, the average value is calculated based on each adjacent order difference to determine the main order of the bearing noise.

[0024] In one embodiment, the step of determining an abnormal bearing and a faulty component corresponding to the abnormal bearing according to the order comparison result comprises:

[0025] Determine the difference between the main order of the bearing noise and the orders corresponding to the components under each bearing according to the order comparison result;

[0026] Determining a target order difference according to a difference between the main order of the bearing noise and the order corresponding to each component under each bearing;

[0027] When the target order difference is within the error range, an abnormal bearing and a faulty component corresponding to the abnormal bearing are determined.

[0028] In one embodiment, before the step of comparing the order according to the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, the step further includes:

[0029] Obtain the component speed corresponding to each component under each bearing;

[0030] Perform order calculation according to the component speed corresponding to each component under each bearing and the reference speed to determine the order corresponding to each component under each bearing;

[0031] The bearing order mapping relationship of each bearing is constructed according to the corresponding order of each component under each bearing.

[0032] In addition, to achieve the above-mentioned purpose, the present application also proposes a bearing abnormal noise diagnosis device, the bearing abnormal noise diagnosis device comprising:

[0033] An analysis module, used for analyzing the abnormal bearing noise when there is abnormal bearing noise in the vehicle, and determining the main order of the bearing noise;

[0034] A comparison module, used for performing order comparison according to the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, wherein the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determining the order comparison result;

[0035] A processing module, used to determine an abnormal bearing and a faulty component corresponding to the abnormal bearing according to the order comparison result;

[0036] The processing module is further used to determine the noise source of the abnormal bearing noise according to the abnormal bearing and the faulty component corresponding to the abnormal bearing.

[0037] In addition, to achieve the above-mentioned purpose, the present application also proposes a bearing abnormal noise diagnosis device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the bearing abnormal noise diagnosis method as described above.

[0038] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the bearing abnormal noise diagnosis method described above are implemented.

[0039] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the bearing abnormal noise diagnosis method described above are implemented.

[0040] This application analyzes the abnormal bearing noise when there is abnormal bearing noise in the vehicle to determine the main order of the bearing noise; performs order comparison based on the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determines the order comparison result; determines the abnormal bearing and the faulty component corresponding to the abnormal bearing according to the order comparison result; determines the noise source of the abnormal bearing noise according to the abnormal bearing and the faulty component corresponding to the abnormal bearing. Through the above method, the abnormal bearing noise is analyzed to determine the main order of the bearing noise, which can quickly identify the source of the abnormal bearing noise and the faulty component, and efficiently and accurately lock the source of the problem, saving time for troubleshooting for subsequent after-sales problem handling. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0042] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0043] Figure 1 A schematic diagram of a flow chart provided for the first embodiment of the bearing abnormal noise diagnosis method of the present application;

[0044] Figure 2 A schematic diagram of a frequency spectrum corresponding to an acceleration condition of the bearing abnormal noise diagnosis method provided in Example 1 of the present application;

[0045] Figure 3 A schematic diagram of a frequency spectrum corresponding to a uniform speed condition of the bearing abnormal noise diagnosis method provided in Example 1 of the present application;

[0046] Figure 4 A schematic diagram of a flow chart provided for Embodiment 2 of the method for diagnosing abnormal noise of bearings of the present application;

[0047] Figure 5 A schematic diagram of a frequency spectrum corresponding to the abnormal noise of a bearing provided in the abnormal noise diagnosis method of the bearing provided in the second embodiment of the present application;

[0048] Figure 6This is a schematic diagram of the module structure of the bearing abnormal noise diagnosis device according to an embodiment of the present application;

[0049] Figure 7 Schematic diagram of the equipment structure of the hardware operating environment involved in the bearing abnormal noise diagnosis method in the embodiment of the present application.

[0050] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0051] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0052] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0053] The main solution of the embodiment of the present application is: when there is abnormal bearing noise in the vehicle, the abnormal bearing noise is analyzed to determine the main order of the bearing noise; an order comparison is performed based on the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, and the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and the order comparison result is determined; the abnormal bearing and the faulty component corresponding to the abnormal bearing are determined based on the order comparison result; the noise source of the abnormal bearing noise is determined based on the abnormal bearing and the faulty component corresponding to the abnormal bearing.

[0054] When the wheel hub bearing makes abnormal noise on the whole vehicle, it is necessary to identify the specific component, then disassemble and replace it. Since there are multiple bearings on the whole vehicle, and they all make humming sounds subjectively, the data shows that the sound of a certain frequency band is more prominent. The existing diagnostic method is based on vibration. By comparing the vibration characteristics of the faulty part with the noise characteristics in the car, the problem component can be identified only if they are related. This method requires sticking vibration sensors on the rotating parts. It is time-consuming and labor-intensive to locate the source of the problem, and it is impossible to quickly identify the source of the problem at the vehicle stage.

[0055] The present application provides a solution, which can quickly identify the source of abnormal bearing noise and faulty parts by analyzing the abnormal bearing noise and determining the main order of the bearing noise, efficiently and accurately lock the source of the problem, and save time for troubleshooting for subsequent after-sales problem handling.

[0056] It should be noted that the execution subject of this embodiment may be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or a bearing abnormal noise diagnosis device that can realize the above functions, etc. The following takes the bearing abnormal noise diagnosis device as an example of the execution subject to illustrate this embodiment and the following embodiments.

[0057] Based on this, the embodiment of the present application provides a bearing abnormal noise diagnosis method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the bearing abnormal noise diagnosis method of the present application.

[0058] In this embodiment, the bearing abnormal noise diagnosis method includes steps S10 to S40:

[0059] Step S10: When the vehicle has abnormal bearing noise, the abnormal bearing noise is analyzed to determine the main order of the bearing noise.

[0060] It should be noted that after the wheel hub bearing is worn, an obvious humming sound will be generated in the car. From the spectrum data of the noise in the car, it can be seen that the humming sound has obvious order characteristics and is more prominent in a certain wide frequency band. The main order of the bearing in the car noise is generally not obvious. It is difficult to determine which bearing has a problem on the whole vehicle. It is necessary to further check the rotating parts on the whole vehicle and compare the vibration characteristics of the problem parts with the characteristics of the noise in the car to finally confirm the problem. This embodiment provides a method for locking the main order of the bearing by analyzing the characteristics of the noise in the car, which can lock the faulty parts more quickly, thereby reducing the cost of problem investigation and maintenance.

[0061] It is understandable that when there is abnormal noise in the vehicle, the frequency spectrum analysis is performed on the noise inside the vehicle to clarify the order of the noise. When the order is not an integer, it means that the abnormal noise belongs to the abnormal noise of the bearing. At this time, the abnormal noise of the bearing is further analyzed to clarify the main order of the abnormal noise of the bearing. In this embodiment, the main order of the bearing noise refers to the main order of the abnormal noise of the bearing, and the main order of the bearing noise is the average value of the difference between all adjacent noise orders of the abnormal noise of the bearing.

[0062] In a feasible implementation manner, before step S10, steps A11 to A14 may be included:

[0063] Step A11, when there is abnormal noise in the vehicle, determine the target vehicle speed range according to the noise information collected when the vehicle is running.

[0064] It should be noted that when there is abnormal noise in the vehicle, the speed section with the largest noise decibel is found according to the noise information collected when the vehicle is running. This speed section is also the speed section where the abnormal noise is most obvious. In this embodiment, the target speed section refers to the speed section where the abnormal noise of the vehicle is most obvious.

[0065] Step A12, performing an in-vehicle noise test in the target vehicle speed range to determine noise test data corresponding to each test condition.

[0066] It should be noted that the in-vehicle noise test is conducted within the target speed range, and the test is divided into a uniform speed condition and an acceleration condition. Within the target speed range, the in-vehicle noise and motor speed / drive shaft speed under a uniform speed condition are obtained through testing; as well as the in-vehicle noise and motor speed / drive shaft speed under an acceleration condition. In this embodiment, the test conditions include a uniform speed condition and an acceleration condition, and the noise test data includes but is not limited to the in-vehicle noise and the motor speed / drive shaft speed.

[0067] Step A13, analyzing the noise test data corresponding to each test condition to obtain the test noise order corresponding to each speed.

[0068] Step A14: when the test noise order corresponding to each rotation speed is a non-integer order, it is determined that the vehicle has abnormal bearing noise.

[0069] It should be noted that the noise test data corresponding to each test condition is subjected to spectrum analysis, and different motor speeds / drive shaft speeds are tracked to determine the test noise order corresponding to each speed. When the test noise orders corresponding to each speed are not integers, it can be determined that the abnormal noise in the vehicle comes from the bearings in the vehicle, and the abnormal noise in the vehicle is determined to be the bearing abnormal noise. In this embodiment, the noise data collected under the acceleration condition can be used as the bearing abnormal noise for subsequent noise diagnosis.

[0070] In a feasible implementation manner, step A13 may include steps B11 to B12:

[0071] Step B11, performing spectrum analysis on the noise test data corresponding to each test condition to generate a noise spectrum diagram corresponding to each test condition.

[0072] Step B12, determining the test noise order corresponding to each speed according to the noise spectrum corresponding to each test condition and each speed within the target vehicle speed range.

[0073] It should be noted that the noise test data corresponding to each test condition is preprocessed, including but not limited to filtering, denoising and other operations to eliminate unnecessary interference signals. The noise test data corresponding to each test condition is converted from a time domain signal to a frequency domain signal using Fourier transform or other spectrum analysis methods, thereby obtaining a noise spectrum diagram corresponding to each test condition, which can display the intensity of different frequency components. For example Figure 2 and Figure 3 As shown, Figure 2 This is the noise spectrum corresponding to the acceleration condition. Figure 3 It is the noise spectrum corresponding to the uniform speed condition.

[0074] It can be understood that according to the noise test data corresponding to each test condition, the motor speed / drive shaft speed corresponding to each test condition is determined, and the fundamental frequency is calculated based on each speed. The fundamental frequency is the natural frequency of the rotating machinery, and other noise orders are usually integer multiples of the fundamental frequency. Significant peaks are found on the noise spectrum of each test condition, and these peaks correspond to different test noise orders. For the speed under each test condition, the corresponding test noise order and its intensity are recorded to obtain the test noise order corresponding to each speed.

[0075] Step S20, performing order comparison based on the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, wherein the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determining the order comparison result.

[0076] It should be noted that since there are multiple bearings on the vehicle, including but not limited to motor bearings, reducer bearings, and wheel hub bearings, there are multiple components on each bearing, such as an inner ring, an outer ring, a retaining cage, and rolling elements. The order of each component of all bearings on the vehicle is calculated, and a corresponding bearing order mapping relationship is constructed for each bearing. The main order of the bearing noise is compared with the order existing in the bearing order mapping relationship of each bearing to determine the difference between the main order of the bearing noise and the order corresponding to each component under each bearing. In this embodiment, the order comparison result includes the difference between the order of the bearing noise and the order corresponding to each component under each bearing.

[0077] In a feasible implementation manner, before step S20, steps C11 to C13 may be included:

[0078] Step C11, obtaining the component rotation speed corresponding to each component under each bearing.

[0079] It should be noted that the actual operating data of the vehicle during operation, such as engine speed, wheel speed, etc., is obtained, and the speed of each component corresponding to each bearing is calculated by taking into account factors such as the reduction ratio of the transmission system.

[0080] Step C12, performing order calculation according to the component rotation speed corresponding to each component under each bearing and the reference rotation speed, and determining the order corresponding to each component under each bearing.

[0081] It should be noted that in this embodiment, the reference speed is set according to demand, and can be the engine speed or a certain reference speed, and this embodiment does not limit this. For each bearing: the order corresponding to each component is calculated based on the component speed corresponding to each component and the reference speed. In this embodiment, the order of the bearing is a proportional coefficient relative to the reference speed, which is used to help understand the relative motion frequency between different components inside the bearing. For example, if the inner ring of bearing 1 rotates synchronously with the shaft, its order is 1; if the number of rolling elements is N, the order of the rolling element passing frequency is N.

[0082] Step C13, constructing a bearing order mapping relationship of each bearing according to the orders corresponding to each component under each bearing.

[0083] It should be noted that for each bearing: after determining the order corresponding to each component, the bearing order mapping relationship corresponding to the bearing can be constructed, and the bearing order mapping relationship includes the order corresponding to each component. In order to facilitate the understanding of the bearing order mapping relationship, Table 1 is used as an example, and Table 1 does not limit the bearing, bearing component, and the order corresponding to the bearing component.

[0084] Table 1

[0085] Bearing order Inner Circle Outer ring Cage Rolling element Bearing 1 4.99 3.01 3.01 0.38 Bearing 2 4.51 2.49 2.49 0.36 Bearing 3 2.90 2.08 2.08 0.12 Bearing 4 1.26 1.02 1.02 0.04 Bearing 5 5.43 3.57 3.57 0.40 Bearing 6 0.05 0.64 0.42 0.25

[0086] Step S30: determining an abnormal bearing and a faulty component corresponding to the abnormal bearing according to the order comparison result.

[0087] It should be noted that, based on the order comparison result, the order whose difference with the main order of the bearing noise is within a preset error range is determined, and based on the components and bearings corresponding to the order, the abnormal bearing and the faulty component corresponding to the abnormal bearing are determined. In this embodiment, the error range can be set to ±0.2, and can also be set to other ranges according to requirements, which is not limited in this embodiment.

[0088] In a feasible implementation, step S30 may include steps D11 to D13:

[0089] Step D11, determining the difference between the main order of the bearing noise and the orders corresponding to the components under each bearing according to the order comparison result.

[0090] Step D12, determining a target order difference according to the difference between the main order of the bearing noise and the orders corresponding to the components under each bearing.

[0091] Step D13, when the target order difference is within the error range, determining the abnormal bearing and the faulty component corresponding to the abnormal bearing.

[0092] It should be noted that based on the order comparison result, the difference between the main order of the bearing noise and the order corresponding to each component under each bearing can be obtained, and all the differences are sorted, and the difference closest to 0 or equal to 0 is used as the target order difference. And judge whether the target order difference is within the error range. If so, the source of the difference is determined according to the target order difference, and the order of the component used to calculate the difference is clarified. The component and bearing corresponding to the order of the component are regarded as abnormal bearings and the faulty components corresponding to the abnormal bearings. For ease of understanding, an example is given in conjunction with Table 1 above. The main order of the bearing noise is 0.64. At this time, it can be determined that the difference between the order corresponding to the outer ring of bearing 6 and the main order of the bearing noise is 0. At this time, the abnormal bearing is bearing 6, and the abnormal component is the outer ring corresponding to bearing 6.

[0093] Step S40: determining a noise source of the abnormal bearing noise according to the abnormal bearing and a faulty component corresponding to the abnormal bearing.

[0094] It should be noted that after determining the abnormal bearing and the faulty component corresponding to the abnormal bearing, the source of the abnormal bearing noise can be determined, which lays the foundation for subsequent after-sales problem handling and can save time for problem troubleshooting.

[0095] This embodiment analyzes the abnormal bearing noise when there is abnormal bearing noise in the vehicle to determine the main order of the bearing noise; performs order comparison based on the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determines the order comparison result; determines the abnormal bearing and the faulty component corresponding to the abnormal bearing according to the order comparison result; determines the noise source of the abnormal bearing noise according to the abnormal bearing and the faulty component corresponding to the abnormal bearing. Through the above method, the abnormal bearing noise is analyzed to determine the main order of the bearing noise, which can quickly identify the source of the abnormal bearing noise and the faulty component, and efficiently and accurately lock the source of the problem, saving time for troubleshooting for subsequent after-sales problem handling.

[0096] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 4 In the bearing abnormal noise diagnosis method, step S10 further includes steps S11 to S13:

[0097] Step S11, when the vehicle has abnormal bearing noise, filtering and analyzing the noise spectrum corresponding to the abnormal bearing noise to determine the target noise frequency band.

[0098] It should be noted that when abnormal bearing noise exists in a vehicle, Fourier transform or other spectrum analysis methods are used to convert the abnormal bearing noise from a time domain signal to a frequency domain signal, thereby obtaining a noise spectrum diagram corresponding to the abnormal bearing noise.

[0099] It is understandable that since the noise spectrum may contain multiple noise components, it is necessary to use appropriate filtering technology to filter out irrelevant noise frequency components and retain only the signals within the target noise frequency band. The target noise frequency band refers to the frequency range related to the abnormal noise of the bearing. In this embodiment, the noise spectrum can be adjusted to a suitable level until all the problematic noise orders are clearly seen in the noise spectrum.

[0100] Step S12: Compare each noise frequency point in the target noise frequency band with the rotation speed corresponding to each noise frequency point to determine the noise order corresponding to each noise frequency point.

[0101] It should be noted that all significant noise frequency points in the target noise frequency band are extracted from the noise spectrum diagram, and each noise frequency point is compared with the rotation speed corresponding to each noise frequency point to clarify the noise order corresponding to each noise frequency point. For example, if the frequency of noise frequency point A is twice the rotation speed corresponding to frequency point A, then the noise order of noise frequency point A is 2. In this embodiment, the rotation speed corresponding to each noise frequency point may be a known transmission shaft rotation speed and motor rotation speed, etc., which is not limited in this embodiment.

[0102] Step S13, performing order calculation according to the noise orders corresponding to each noise frequency point to determine the main order of the bearing noise.

[0103] It should be noted that, in this embodiment, based on the noise orders corresponding to each noise frequency point, the most frequently occurring noise order can be taken as the main order of the bearing noise, or the noise order with the largest intensity on the spectrum diagram can be taken as the main order of the bearing noise. It can also be determined in other ways. This embodiment does not limit the method for determining the main order of the bearing noise.

[0104] In a feasible implementation, step S13 may include steps E11 to E12:

[0105] Step E11, calculating the difference between noise orders corresponding to adjacent noise frequency points in the target noise frequency band to obtain a plurality of adjacent order differences.

[0106] Step E12: When there are more than a preset number of adjacent order differences within the error range, average calculation is performed based on each adjacent order difference to determine the main order of the bearing noise.

[0107] It should be noted that for the noise orders corresponding to all noise frequency points in the target noise frequency band, the difference between two adjacent noise orders is calculated to obtain multiple adjacent order differences. If there are more than a preset number of adjacent order differences within the error range, all adjacent order differences are averaged to obtain the main order of the bearing noise. In this embodiment, the error range can be set to ±0.2, the preset number is set to 3, and can also be set to other values ​​according to requirements, which is not limited in this embodiment.

[0108] It can be understood that, for ease of understanding, an example is given to illustrate the determination of the main order of bearing noise, for example Figure 5 The frequency spectrum diagram corresponding to the abnormal noise of the bearing shown in the figure calculates the difference between adjacent noise orders within the target noise frequency band, thereby obtaining multiple adjacent order differences. When there are 3 or more adjacent order differences within ±0.2, the mean of all adjacent order differences is calculated, and the main order of the bearing noise is obtained to be 0.64.

[0109] This embodiment determines the target noise frequency band by filtering and analyzing the noise spectrum corresponding to the abnormal bearing noise when the vehicle has abnormal bearing noise; compares each noise frequency point in the target noise frequency band with the rotation speed corresponding to each noise frequency point to determine the noise order corresponding to each noise frequency point; and performs order calculation based on the noise order corresponding to each noise frequency point to determine the main order of the bearing noise. Through the above, the main order of the bearing noise can be accurately calculated, laying a foundation for the subsequent abnormal noise diagnosis.

[0110] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the bearing abnormal noise diagnosis method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0111] This application also provides a bearing abnormal noise diagnosis device, please refer to Figure 6 , the bearing abnormal noise diagnosis device comprises:

[0112] The analysis module 10 is used to analyze the abnormal bearing noise when the vehicle has abnormal bearing noise and determine the main order of the bearing noise.

[0113] The comparison module 20 is used to perform order comparison based on the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, wherein the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determine the order comparison result.

[0114] The processing module 30 is used to determine the abnormal bearing and the faulty component corresponding to the abnormal bearing according to the order comparison result.

[0115] The processing module 30 is further used to determine the noise source of the abnormal bearing noise according to the abnormal bearing and the faulty component corresponding to the abnormal bearing.

[0116] Optionally, the analysis module 10 is further used for:

[0117] When abnormal noise exists in the vehicle, a target speed section is determined according to noise information collected when the vehicle is running; an in-vehicle noise test is performed in the target speed section to determine noise test data corresponding to each test condition; the noise test data corresponding to each test condition is analyzed to obtain a test noise order corresponding to each speed; when the test noise order corresponding to each speed is a non-integer order, it is determined that the vehicle has abnormal bearing noise.

[0118] Optionally, the analysis module 10 is further used for:

[0119] The noise test data corresponding to each test condition is subjected to spectrum analysis to generate a noise spectrum diagram corresponding to each test condition; and the test noise order corresponding to each speed is determined according to the noise spectrum diagram corresponding to each test condition and each speed within the target vehicle speed range.

[0120] Optionally, the analysis module 10 is further used for:

[0121] When abnormal bearing noise exists in the vehicle, the noise spectrum diagram corresponding to the abnormal bearing noise is filtered and analyzed to determine the target noise frequency band; each noise frequency point in the target noise frequency band is compared with the rotation speed corresponding to each noise frequency point to determine the noise order corresponding to each noise frequency point; the order calculation is performed according to the noise order corresponding to each noise frequency point to determine the main order of the bearing noise.

[0122] Optionally, the analysis module 10 is further used for:

[0123] The difference between the noise orders corresponding to adjacent noise frequency points in the target noise frequency band is calculated to obtain multiple adjacent order differences; when there are more than a preset number of adjacent order differences within the error range, the mean value is calculated based on the adjacent order differences to determine the main order of the bearing noise.

[0124] Optionally, the processing module 30 is further used for:

[0125] Determine the difference between the main order of the bearing noise and the orders corresponding to the components under each bearing according to the order comparison result; determine the target order difference according to the difference between the main order of the bearing noise and the orders corresponding to the components under each bearing; and determine the abnormal bearing and the faulty component corresponding to the abnormal bearing when the target order difference is within the error range.

[0126] Optionally, the comparison module 20 is further used for:

[0127] Obtain the component speed corresponding to each component under each bearing; perform order calculation according to the component speed corresponding to each component under each bearing and the reference speed to determine the order corresponding to each component under each bearing; and construct a bearing order mapping relationship of each bearing according to the order corresponding to each component under each bearing.

[0128] The bearing abnormal noise diagnosis device provided by the present application adopts the bearing abnormal noise diagnosis method in the above embodiment, which can solve the technical problem in the prior art that when the vehicle has bearing abnormal noise, the source of the abnormal noise cannot be quickly located. Compared with the prior art, the beneficial effects of the bearing abnormal noise diagnosis device provided by the present application are the same as the beneficial effects of the bearing abnormal noise diagnosis method provided by the above embodiment, and the other technical features of the bearing abnormal noise diagnosis device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0129] The present application provides a bearing abnormal noise diagnostic device, which includes: at least one processor; and a memory connected to the at least one processor in communication; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the bearing abnormal noise diagnostic method in the above-mentioned embodiment one.

[0130] Reference below Figure 7 , which shows a schematic diagram of the structure of a bearing abnormal noise diagnosis device suitable for implementing the embodiment of the present application. The bearing abnormal noise diagnosis device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 7 The bearing noise diagnostic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0131] like Figure 7As shown, the bearing abnormal noise diagnosis device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the bearing abnormal noise diagnosis device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the bearing abnormal noise diagnosis device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows the bearing abnormal noise diagnosis device with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems can be implemented or provided instead.

[0132] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0133] The bearing abnormal noise diagnosis device provided by the present application adopts the bearing abnormal noise diagnosis method in the above embodiment, which can solve the technical problem in the prior art that when the vehicle has bearing abnormal noise, the source of the abnormal noise cannot be quickly located. Compared with the prior art, the beneficial effects of the bearing abnormal noise diagnosis device provided by the present application are the same as the beneficial effects of the bearing abnormal noise diagnosis method provided by the above embodiment, and the other technical features of the bearing abnormal noise diagnosis device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0134] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0135] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present 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.

[0136] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the bearing abnormal noise diagnosis method in the above-mentioned embodiment.

[0137] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination of the above.

[0138] The computer-readable storage medium may be included in the bearing abnormal noise diagnosis device; or may exist independently without being assembled into the bearing abnormal noise diagnosis device.

[0139] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the bearing abnormal noise diagnostic device, the bearing abnormal noise diagnostic device: when there is bearing abnormal noise in the vehicle, analyze the bearing abnormal noise and determine the main order of the bearing noise; perform order comparison based on the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determine the order comparison result; determine the abnormal bearing and the faulty component corresponding to the abnormal bearing according to the order comparison result; determine the noise source of the bearing abnormal noise according to the abnormal bearing and the faulty component corresponding to the abnormal bearing.

[0140] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0141] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present application. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0142] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0143] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned bearing abnormal noise diagnosis method, and can solve the technical problem in the prior art that when there is abnormal noise in the bearing of the vehicle, the source of the abnormal noise cannot be quickly located. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the bearing abnormal noise diagnosis method provided by the above-mentioned embodiment, and will not be repeated here.

[0144] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned bearing abnormal noise diagnosis method when executed by a processor.

[0145] The computer program product provided by the present application can solve the technical problem in the prior art that when there is abnormal noise in the bearing of the vehicle, the source of the abnormal noise cannot be quickly located. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as the beneficial effects of the abnormal noise diagnosis method of the bearing provided by the above embodiment, which will not be elaborated here.

[0146] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A method for diagnosing abnormal noise of a bearing, characterized in that: The bearing abnormal noise diagnosis method comprises: When the vehicle has abnormal bearing noise, the abnormal bearing noise is analyzed to determine the main order of the bearing noise; performing order comparison according to the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, wherein the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determining the order comparison result; Determine the abnormal bearing and the faulty component corresponding to the abnormal bearing according to the order comparison result; The noise source of the abnormal bearing noise is determined according to the abnormal bearing and the faulty component corresponding to the abnormal bearing.

2. The method according to claim 1, characterized in that Before the step of analyzing the abnormal bearing noise when the vehicle has abnormal bearing noise and determining the main order of the bearing noise, the method further includes: When the vehicle has abnormal noise, the target speed range is determined based on the noise information collected when the vehicle is running; Performing an in-vehicle noise test in the target vehicle speed range to determine noise test data corresponding to each test condition; Analyze the noise test data corresponding to each test condition to obtain the test noise order corresponding to each speed; When the test noise order corresponding to each rotation speed is a non-integer order, it is determined that the vehicle has abnormal bearing noise.

3. The method according to claim 2, characterized in that The step of analyzing the noise test data corresponding to each test condition to obtain the test noise order corresponding to each speed includes: Perform spectrum analysis on the noise test data corresponding to each test condition to generate a noise spectrum diagram corresponding to each test condition; According to the noise spectrum corresponding to each test condition and each rotation speed within the target vehicle speed range, the test noise order corresponding to each rotation speed is determined.

4. The method according to claim 1, characterized in that When the vehicle has abnormal bearing noise, the step of analyzing the abnormal bearing noise and determining the main order of the bearing noise includes: When the vehicle has abnormal bearing noise, filter and analyze the noise spectrum corresponding to the abnormal bearing noise to determine the target noise frequency band; Compare each noise frequency point in the target noise frequency band with the rotation speed corresponding to each noise frequency point to determine the noise order corresponding to each noise frequency point; The order calculation is performed according to the noise order corresponding to each noise frequency point to determine the main order of the bearing noise.

5. The method according to claim 4, characterized in that The step of calculating the order according to the noise order corresponding to each noise frequency point to determine the main order of the bearing noise comprises: Calculating the difference between noise orders corresponding to adjacent noise frequency points in the target noise frequency band to obtain a plurality of adjacent order differences; When there are more than a preset number of adjacent order differences within the error range, the average value is calculated based on each adjacent order difference to determine the main order of the bearing noise.

6. The method according to claim 1, characterized in that The step of determining the abnormal bearing and the faulty component corresponding to the abnormal bearing according to the order comparison result comprises: Determine the difference between the main order of the bearing noise and the orders corresponding to the components under each bearing according to the order comparison result; Determining a target order difference according to a difference between the main order of the bearing noise and the order corresponding to each component under each bearing; When the target order difference is within the error range, an abnormal bearing and a faulty component corresponding to the abnormal bearing are determined.

7. The method according to any one of claims 1 to 6, characterized in that Before the step of comparing the order according to the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, the method further includes: Obtain the component speed corresponding to each component under each bearing; Perform order calculation according to the component speed corresponding to each component under each bearing and the reference speed to determine the order corresponding to each component under each bearing; The bearing order mapping relationship of each bearing is constructed according to the corresponding order of each component under each bearing.

8. A bearing abnormal noise diagnosis device, characterized in that: The bearing abnormal noise diagnosis device comprises: An analysis module, used for analyzing the abnormal bearing noise when there is abnormal bearing noise in the vehicle, and determining the main order of the bearing noise; A comparison module, used for performing order comparison according to the bearing order mapping relationship of each bearing on the vehicle and the main order of the bearing noise, wherein the bearing order mapping relationship is used to characterize the mapping relationship between each component of the bearing and the order, and determining the order comparison result; A processing module, used to determine an abnormal bearing and a faulty component corresponding to the abnormal bearing according to the order comparison result; The processing module is further used to determine the noise source of the abnormal bearing noise according to the abnormal bearing and the faulty component corresponding to the abnormal bearing.

9. A bearing abnormal noise diagnosis device, characterized in that: The bearing abnormal noise diagnosis device comprises: a memory, a processor, and a bearing abnormal noise diagnosis program stored in the memory and executable on the processor, wherein the bearing abnormal noise diagnosis program is configured to implement the bearing abnormal noise diagnosis method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a bearing abnormal noise diagnosis program, and when the bearing abnormal noise diagnosis program is executed by the processor, the bearing abnormal noise diagnosis method according to any one of claims 1 to 7 is implemented.