Rolling bearing fault diagnosis method, device and equipment

Abstract

The invention discloses a rolling bearing fault diagnosis method, device and equipment, and the method comprises the steps: collecting a bearing vibration signal of target auxiliary equipment based on a preset frequency response module, generating a signal spectrogram and a Bode diagram, and enabling the preset frequency response module to be used for generating resonance with the target auxiliary equipment; according to the signal spectrogram and the Bode diagram, whether a target vibration peak exists at the measuring point is judged, if yes, the frequency corresponding to the target vibration peak is obtained, and the vibration peak frequency is obtained; and performing fault judgment and analysis according to the vibration peak frequency and the current signal to obtain a fault diagnosis result. The technical problem that the fault diagnosis result is lack of accuracy and reliability due to the fact that the rolling bearing initial fault signal is difficult to accurately capture in the prior art can be solved.

Description

Technical Field

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

[0002] In thermal power generating units, large fans, condensate pumps and other high-speed rotating equipment mainly use variable frequency speed regulation technology to adjust power to achieve energy saving goals. These equipment are equipped with rolling bearings to constrain the rotors, and the state of the rolling bearings directly affects the normal use of the equipment.

[0003] In the early stage of bearing failure, the overall vibration amplitude of the equipment changes little, and the fault frequency corresponding to the components (outer ring, cage, rolling element, etc.) appears in the vibration signal, but the vibration amplitude corresponding to the fault frequency accounts for a very small proportion in the vibration signal. After the bearing damage intensifies, the overall vibration amplitude of the equipment deteriorates, and the typical component failure frequency characteristics are fully manifested, which can be fully identified by conventional vibration collection and analysis equipment. At this stage, the bearing damage is accelerated, the bearing life is greatly shortened, and the bearing is very easy to fail quickly. When the bearing has a serious fault and affects the vibration of the equipment, it can only be handled by replacing the faulty bearing. Under the conditions of the power spot trading market, the unit lacks autonomy in starting and stopping, and the maintenance window is limited. When the rolling bearing has a serious fault or fails, it affects the normal operation of these auxiliary equipment and even forces the equipment to shut down. Therefore, if the bearing defect can be identified in the early stage of bearing failure, the maintenance work can be planned in advance, and the unit adjustment or low-load time window can be used in time to carry out bearing replacement to ensure equipment safety.

[0004] Since the vibration amplitude corresponding to the component failure frequency in the early stage of bearing failure accounts for a small proportion in the vibration signal, it is difficult to capture and identify it using traditional fault detection and analysis methods. Therefore, the initial fault diagnosis results lack accuracy and reliability, and it is difficult to provide effective theoretical support for actual fault detection. Summary of the invention

[0005] The present application provides a rolling bearing fault diagnosis method, device and equipment, which are used to solve the technical problem that the prior art is difficult to accurately capture the initial fault signal of the rolling bearing, resulting in the lack of accuracy and reliability of the fault diagnosis results.

[0006] In view of this, the first aspect of the present application provides a rolling bearing fault diagnosis method, comprising:

[0007] Collect the bearing vibration signal of the target auxiliary equipment based on the preset frequency response module to generate a signal spectrum diagram and a Bode diagram, wherein the preset frequency response module is used to resonate with the target auxiliary equipment;

[0008] Determine whether there is a target vibration peak at the measuring point according to the signal spectrum diagram and the Bode diagram, and if so, obtain the frequency corresponding to the target vibration peak to obtain the vibration peak frequency;

[0009] A fault judgment analysis is performed based on the vibration peak frequency and the current signal to obtain a fault diagnosis result.

[0010] Preferably, the method of collecting the bearing vibration signal of the target auxiliary equipment based on the preset frequency response module and generating the signal spectrum diagram and Bode diagram includes:

[0011] Collect bearing vibration signals of target auxiliary equipment based on a preset frequency response module;

[0012] Measuring the rotation speed of the target auxiliary device by a rotation speed measuring device;

[0013] generating a signal spectrum diagram according to the bearing vibration signal;

[0014] The correlation between the amplitude of the bearing vibration signal and the rotational speed is analyzed to generate a Bode diagram.

[0015] Preferably, the method of collecting the bearing vibration signal of the target auxiliary equipment based on the preset frequency response module and generating the signal spectrum diagram and Bode diagram also includes:

[0016] According to the fault frequency library of the bearing components of the auxiliary equipment, frequency response modules of the low frequency band, the middle frequency band and the high frequency band are respectively configured to obtain a preset frequency response module;

[0017] The preset frequency response module is arranged at the housing position of the target auxiliary device or at the position with the highest vibration response, so that the preset frequency response module and the target auxiliary device reach a resonance state;

[0018] A vibration acceleration sensor is arranged on the preset frequency response module, wherein the vibration acceleration sensor is used to measure a vibration signal.

[0019] Preferably, performing fault judgment analysis based on the vibration peak frequency and the current signal to obtain a fault diagnosis result includes:

[0020] Calculating the ratio between the vibration peak frequency and the rotation speed frequency to obtain a frequency ratio;

[0021] If the frequency ratio is an integer and the frequency ratio is within a preset ratio range, analyzing the current signal;

[0022] It is determined whether the current signal is abnormal. If so, it is determined to be a high-frequency vibration fault. If not, it is determined to be a bearing fault.

[0023] Preferably, if the frequency ratio is an integer and the frequency ratio is within a preset ratio range, analyzing the current signal further includes:

[0024] If the frequency ratio is a non-integer, the vibration peak frequency is compared with the component reference fault frequency to obtain a frequency deviation;

[0025] If the frequency deviation is less than the deviation threshold, it is determined to be a bearing fault;

[0026] If the frequency deviation exceeds the deviation threshold, it is determined to be a motor failure.

[0027] A second aspect of the present application provides a rolling bearing fault diagnosis device, comprising:

[0028] A signal processing unit, used to collect a bearing vibration signal of a target auxiliary device based on a preset frequency response module, and generate a signal spectrum diagram and a Bode diagram, wherein the preset frequency response module is used to resonate with the target auxiliary device;

[0029] A vibration analysis unit, used to determine whether there is a target vibration peak at the measuring point according to the signal spectrum diagram and the Bode diagram, and if so, obtain the frequency corresponding to the target vibration peak to obtain the vibration peak frequency;

[0030] The fault judgment unit is used to perform fault judgment and analysis according to the vibration peak frequency and the current signal to obtain a fault diagnosis result.

[0031] Preferably, the signal processing unit is specifically used for:

[0032] Collect bearing vibration signals of target auxiliary equipment based on a preset frequency response module;

[0033] Measuring the rotation speed of the target auxiliary device by a rotation speed measuring device;

[0034] generating a signal spectrum diagram according to the bearing vibration signal;

[0035] The correlation between the amplitude of the bearing vibration signal and the rotational speed is analyzed to generate a Bode diagram.

[0036] Preferably, the fault judgment unit specifically includes:

[0037] A ratio calculation subunit, used to calculate the ratio between the vibration peak frequency and the rotation speed frequency to obtain a frequency ratio;

[0038] a ratio judgment subunit, configured to analyze the current signal if the frequency ratio is an integer and is within a preset ratio range;

[0039] The fault analysis subunit is used to determine whether the current signal is abnormal. If so, it is determined to be a high-frequency vibration fault; if not, it is determined to be a bearing fault.

[0040] Preferably, it also includes a frequency judgment and analysis unit, which is specifically used for:

[0041] If the frequency ratio is a non-integer, the vibration peak frequency is compared with the component reference fault frequency to obtain a frequency deviation;

[0042] If the frequency deviation is less than the deviation threshold, it is determined to be a bearing fault;

[0043] If the frequency deviation exceeds the deviation threshold, it is determined to be a motor failure.

[0044] A third aspect of the present application provides a rolling bearing fault diagnosis device, the device comprising a processor and a memory;

[0045] The memory is used to store program code and transmit the program code to the processor;

[0046] The processor is used to execute the rolling bearing fault diagnosis method described in the first aspect according to the instructions in the program code.

[0047] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0048] In the present application, a rolling bearing fault diagnosis method is provided, including: collecting the bearing vibration signal of the target auxiliary equipment based on a preset frequency response module, generating a signal spectrum diagram and a Bode diagram, and the preset frequency response module is used to resonate with the target auxiliary equipment; judging whether there is a target vibration peak at the measuring point according to the signal spectrum diagram and the Bode diagram, and if so, obtaining the frequency corresponding to the target vibration peak to obtain the vibration peak frequency; performing fault judgment and analysis according to the vibration peak frequency and the current signal to obtain a fault diagnosis result.

[0049] The present application provides a rolling bearing fault diagnosis method, which uses a preset frequency response module to resonate with the target auxiliary equipment, thereby ensuring that the vibrations of the two are at the same frequency, so that the vibration of the bearing can be accurately reflected through the resonance of the preset frequency response module, and a reliable bearing vibration signal can be obtained. This signal acquisition process can solve the problem of weak initial signals of bearing faults; on this basis, the bearing vibration signal is analyzed by spectrogram, and a comprehensive fault judgment is made based on the frequency and current signals, which can ensure the accuracy and reliability of the fault diagnosis results. Therefore, the present application can solve the technical problem that the prior art is difficult to accurately capture the initial fault signal of the rolling bearing, resulting in the lack of accuracy and reliability of the fault diagnosis results. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 A schematic diagram of a rolling bearing fault diagnosis method provided in an embodiment of the present application;

[0051] Figure 2A schematic diagram of the structure of a rolling bearing fault diagnosis device provided in an embodiment of the present application;

[0052] Figure 3 This is a physical schematic diagram of the preset frequency response module and the corresponding sensor installation provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0054] For easier understanding, see Figure 1 , an embodiment of a rolling bearing fault diagnosis method provided by the present application includes:

[0055] Step 101: collecting a bearing vibration signal of a target auxiliary device based on a preset frequency response module to generate a signal spectrum diagram and a Bode diagram. The preset frequency response module is used to generate resonance with the target auxiliary device.

[0056] Furthermore, step 101 includes:

[0057] Collect bearing vibration signals of target auxiliary equipment based on a preset frequency response module;

[0058] Measuring the rotation speed of the target auxiliary equipment by means of a rotation speed measuring device;

[0059] Generate a signal spectrum diagram according to the bearing vibration signal;

[0060] Analyze the correlation between the amplitude of the bearing vibration signal and the speed, and generate a Bode diagram.

[0061] Furthermore, step 101, before that, also includes:

[0062] According to the fault frequency library of the bearing components of the auxiliary equipment, frequency response modules of the low frequency band, the middle frequency band and the high frequency band are respectively configured to obtain a preset frequency response module;

[0063] The preset frequency response module is set at the housing position of the target auxiliary device or at the position with the highest vibration response, so that the preset frequency response module and the target auxiliary device reach a resonance state;

[0064] A vibration acceleration sensor is arranged on the preset frequency response module, wherein the vibration acceleration sensor is used to measure the vibration signal.

[0065] It should be noted that the preset frequency response module is a frequency device designed in this embodiment according to the vibration signal sampling requirements and includes different frequency bands for resonating with the target auxiliary equipment. According to the bearing model used in the existing auxiliary equipment, the fault frequency of each component can be calculated separately, and this can be used as the component benchmark fault frequency. These frequencies can be used to construct a bearing fault frequency database, that is, a fault frequency library. According to the fault frequency library of the bearing components of the auxiliary equipment, a low-order natural frequency response sensitive module can be set; this is a module for three frequency bands: low frequency band, medium frequency band and high frequency band.

[0066] Among them, the use range of the low-frequency module covers the failure frequency of the cage in the high-speed operation range of the equipment, which is generally in the range of 10Hz to 15Hz; the use range of the medium-frequency module and the high-frequency module covers the failure frequency of the rolling element and the inner and outer rings of the bearing, which are in the range of 40Hz to 60Hz and 140Hz to 160Hz respectively. In addition, the calculation methods of the component benchmark failure frequencies of different components are different. This embodiment gives the following examples:

[0067] For bearings with rotating inner ring, cage failure frequency:

[0068]

[0069] Inner race fault frequency:

[0070]

[0071] For bearings with rotating outer ring, cage failure frequency:

[0072]

[0073] Outer race fault frequency:

[0074]

[0075] Rolling element failure frequency:

[0076]

[0077] In the above formula: D is the diameter of the center circle (pitch circle) of the rolling element; d is the diameter of the rolling element; β is the contact angle; Z is the number of rolling elements; n is the rotation frequency of the shaft.

[0078] The preset frequency response module that has been set up needs to be arranged at the housing position of the target auxiliary equipment or the position with the highest vibration response, and reach a resonant state with the target auxiliary equipment. The position with the highest vibration response can be selected based on actual experience. If it is a vertical device, such as a vertical condensate pump, it is arranged at the top of the motor on the upper side; if it is a horizontal device, such as a fan, it is arranged at the horizontal mid-plane of the corresponding bearing position, etc. In addition, it can also be arranged at a position with a high vibration amplitude. The preset frequency response module and the auxiliary equipment can be connected by bolts or adsorbed by strong magnets, and the vibration response sensitive direction of the module is the radial direction of the bearing. When the preset frequency response module reaches a resonant state with the target auxiliary equipment, a larger vibration amplitude can be generated, thereby reflecting the bearing vibration condition related to the target auxiliary equipment, thereby obtaining an accurate and reliable bearing vibration signal. The bearing vibration signal of this embodiment is measured by a vibration acceleration sensor arranged on the preset frequency response module. If there are other collection methods, they can also be replaced. This is only an example provided here without limitation; for the physical installation relationship between the preset frequency response module and the corresponding sensor of this embodiment, please refer to. Figure 3 .

[0079] In addition to collecting bearing vibration signals, this embodiment also needs to measure the rotation speed of the target auxiliary equipment. Specific rotation speed measurement equipment includes but is not limited to reflective strips and photoelectric probes, etc., which can be selected and configured as needed.

[0080] By measuring the vibration signals of multiple preset frequency response modules, these signals can be generated into a spectrum diagram to obtain a signal spectrum diagram. By analyzing the correlation between the amplitude of the bearing vibration signal and the speed frequency, a Bode diagram can be generated. The Bode diagram reflects the correlation between the vibration amplitude and the equipment speed, which can be used for subsequent detailed fault diagnosis and analysis.

[0081] Step 102: determine whether there is a target vibration peak at the measuring point according to the signal spectrum diagram and the Bode diagram. If so, obtain the frequency corresponding to the target vibration peak to obtain the vibration peak frequency.

[0082] If the target auxiliary equipment is running in the low-frequency band of the inverter, there is an obvious vibration peak in the Bode diagram corresponding to the measurement point in the medium-frequency band or high-frequency band, that is, the target vibration peak; then the frequency corresponding to the target vibration peak can be obtained in the signal spectrum diagram, that is, the vibration peak frequency. Similarly, if the target auxiliary equipment is running in the high-frequency band of the inverter, there is a target vibration peak in the Bode diagram corresponding to the low-frequency band measurement point, then the corresponding vibration peak frequency also needs to be obtained. It is understandable that there are certain differences in the target vibration peaks of different components or different vibration conditions, so different fault conditions can be reflected.

[0083] In addition, regardless of the type of frequency conversion operation, if the target vibration peak is not detected, it means that the bearing condition of the target auxiliary equipment is good. This is the diagnosis result this time and no additional inspection, equipment maintenance or replacement operation is required.

[0084] Step 103: Perform fault judgment and analysis based on the vibration peak frequency and the current signal to obtain a fault diagnosis result.

[0085] Furthermore, step 103 includes:

[0086] Calculate the ratio between the vibration peak frequency and the rotation speed frequency to obtain the frequency ratio;

[0087] If the frequency ratio is an integer and the frequency ratio is within a preset ratio range, the current signal is analyzed;

[0088] Determine whether the current signal is abnormal. If so, it is determined to be a high-frequency vibration fault. If not, it is determined to be a bearing fault.

[0089] Furthermore, if the frequency ratio is an integer and is within a preset ratio range, the current signal is analyzed, further comprising:

[0090] If the frequency ratio is a non-integer, the vibration peak frequency is compared with the component reference fault frequency to obtain the frequency deviation;

[0091] If the frequency deviation is less than the deviation threshold, it is determined to be a bearing fault;

[0092] If the frequency deviation exceeds the deviation threshold, it is determined to be a motor failure.

[0093] It should be noted that the frequency ratio needs to be calculated based on the vibration peak frequency. The speed frequency is the frequency of the auxiliary equipment speed, which can be obtained when measuring the speed. If the vibration peak frequency is expressed as The speed frequency is expressed as , then the ratio of the two can be expressed as , This is the frequency ratio.

[0094] If the frequency ratio is an integer, and the value is within the preset ratio range, it is judged that the device may have a loose component or a broken cage bar, and a more detailed fault diagnosis is required based on the current signal. The preset ratio range in this process can be set according to the actual situation. For example, the preset ratio range selected in this embodiment is 2~4. In addition, if the frequency ratio If it is an integer, but the ratio is not within the preset ratio range, it is determined to be other faults and other means are needed to diagnose the fault. This is not the content to be protected in this embodiment and will not be elaborated on.

[0095] The judgment of the current signal mainly refers to the state judgment, that is, whether the current signal response is normal. If it is abnormal, it can be concluded that the motor cage bar is broken or the air gap is uneven, which causes the high-frequency vibration fault. At this time, it is necessary to carry out motor inspection according to the fault type, confirm the cause of the fault, and then solve the problem from the root. If the state of the current signal response is normal, it is judged to be a bearing defect such as loose inner ring, loose outer ring or warping. At this time, it is necessary to prepare bearing spare parts and choose an opportunity for repair and replacement.

[0096] If the frequency ratio If it is a non-integer, a different judgment method needs to be used for fault diagnosis; the component benchmark fault frequency corresponding to the target auxiliary equipment can be obtained in the fault frequency library , the vibration peak frequency Directly related to component benchmark failure frequency By comparison, a deviation value, i.e., frequency deviation, can be obtained. The deviation is compared with the deviation threshold. If it exceeds the deviation threshold, it is determined to be a motor fault; if it is less than the deviation threshold, it is determined to be a bearing fault. The motor fault here includes the motor stator or rotor fault, which requires the motor to be checked to confirm and eliminate the fault; and the bearing fault requires replacement of spare parts.

[0097] Moreover, the deviation threshold can be set according to the actual situation, as long as there is room for error. Because of the influence of the contact angle, there is a certain deviation between the actual fault frequency of the bearing component and the calculated value, so the actual deviation threshold is not extremely small or 0. For example, the deviation threshold selected in this embodiment is 15%, that is, less than 15% is considered a bearing defect; more than 15% is diagnosed as a motor fault.

[0098] It should also be noted that when there are defects in the rolling elements, inner rings or outer rings of the bearing, high-frequency vibration components will be triggered. The rolling element failure frequency is concentrated in the 2nd to 3rd frequency, and the bearing inner and outer ring failure frequencies are concentrated in the 3rd to 10th frequency. Taking the variable frequency condensing pump as an example, the rated speed is 1500r / min, the condensing pump operates in the low frequency band, the equipment speed is 600r / min to 900r / min, and the rotation frequency is 12Hz to 18Hz. When there are defects or failures in the rolling elements, inner rings and outer rings, the vibration frequency generated at a certain speed will coincide with the natural frequency of the corresponding test module, triggering resonance characteristics and generating significant vibration peaks. The vibration Bode diagram of the module can clearly identify the vibration peak frequency and speed.

[0099] When there is a defect in the retainer on the bearing, it will cause low-frequency vibration components, and the fault frequency is concentrated in the 0.3-0.6 frequency. Take the variable frequency condensing pump as an example. The rated speed is 1500r / min. The condensing pump runs in the high frequency band. The equipment speed is 1200r / min-1500r / min, and the rotation frequency is 20Hz-25Hz. When there is a defect or failure in the retainer, the vibration frequency generated at a certain speed will coincide with the natural frequency of the corresponding test module, causing resonance characteristics and generating significant vibration peaks. The vibration Bode diagram of the module can clearly identify the frequency at the vibration peak and the speed frequency.

[0100] The embodiment of the present application provides a rolling bearing fault diagnosis method, which uses a preset frequency response module to resonate with the target auxiliary equipment, thereby ensuring that the vibrations of the two are at the same frequency, so that the vibration of the bearing can be accurately reflected through the resonance of the preset frequency response module, and a reliable bearing vibration signal can be obtained. This signal acquisition process can solve the problem of weak initial signals of bearing faults; on this basis, the bearing vibration signal is analyzed by spectrogram, and a comprehensive fault judgment is made based on the frequency and current signals, which can ensure the accuracy and reliability of the fault diagnosis results. Therefore, the embodiment of the present application is difficult to accurately capture the initial fault signal of the rolling bearing, resulting in a technical problem that the fault diagnosis results lack accuracy and reliability.

[0101] For easier understanding, see Figure 2 The present application provides an embodiment of a rolling bearing fault diagnosis device, comprising:

[0102] A signal processing unit 201, used to collect a bearing vibration signal of a target auxiliary device based on a preset frequency response module, and generate a signal spectrum diagram and a Bode diagram, wherein the preset frequency response module is used to resonate with the target auxiliary device;

[0103] The vibration analysis unit 202 is used to determine whether there is a target vibration peak at the measuring point according to the signal spectrum diagram and the Bode diagram, and if so, obtain the frequency corresponding to the target vibration peak to obtain the vibration peak frequency;

[0104] The fault judgment unit 203 is used to perform fault judgment analysis according to the vibration peak frequency and the current signal to obtain a fault diagnosis result.

[0105] Further, the signal processing unit 201 is specifically configured to:

[0106] Collect bearing vibration signals of target auxiliary equipment based on a preset frequency response module;

[0107] Measuring the rotation speed of the target auxiliary equipment by means of a rotation speed measuring device;

[0108] Generate a signal spectrum diagram according to the bearing vibration signal;

[0109] Analyze the correlation between the amplitude of the bearing vibration signal and the speed, and generate a Bode diagram.

[0110] Further, the fault judgment unit 203 specifically includes:

[0111] The ratio calculation subunit 2031 is used to calculate the ratio between the vibration peak frequency and the rotation speed frequency to obtain a frequency ratio;

[0112] The ratio determination subunit 2032 is used to analyze the current signal if the frequency ratio is an integer and is within a preset ratio range;

[0113] The fault analysis subunit 2033 is used to determine whether the current signal is abnormal. If so, it is determined to be a high-frequency vibration fault. If not, it is determined to be a bearing fault.

[0114] Furthermore, a frequency judgment and analysis unit 204 is included, which is specifically used for:

[0115] If the frequency ratio is a non-integer, the vibration peak frequency is compared with the component reference fault frequency to obtain the frequency deviation;

[0116] If the frequency deviation is less than the deviation threshold, it is determined to be a bearing fault;

[0117] If the frequency deviation exceeds the deviation threshold, it is determined to be a motor failure.

[0118] The present application also provides a rolling bearing fault diagnosis device, the device comprising a processor and a memory;

[0119] The memory is used to store the program code and transmit the program code to the processor;

[0120] The processor is used to execute the rolling bearing fault diagnosis method in the above method embodiment according to the instructions in the program code.

[0121] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0122] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0123] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0124] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including a number of instructions for executing all or part of the steps of the method described in each embodiment of the present application through a computer device (which can be a personal computer, server, or network device, etc.). The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (full name in English: Read-Only Memory, English abbreviation: ROM), random access memory (full name in English: Random Access Memory, English abbreviation: RAM), disk or optical disk and other media that can store program codes.

[0125] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A rolling bearing fault diagnosis method, characterized in that: include: Collect the bearing vibration signal of the target auxiliary equipment based on the preset frequency response module to generate a signal spectrum diagram and a Bode diagram, wherein the preset frequency response module is used to resonate with the target auxiliary equipment; Determine whether there is a target vibration peak at the measuring point according to the signal spectrum diagram and the Bode diagram, and if so, obtain the frequency corresponding to the target vibration peak to obtain the vibration peak frequency; A fault judgment analysis is performed based on the vibration peak frequency and the current signal to obtain a fault diagnosis result.

2. The rolling bearing fault diagnosis method according to claim 1, characterized in that: The method of collecting the bearing vibration signal of the target auxiliary equipment based on the preset frequency response module and generating a signal spectrum diagram and a Bode diagram includes: Collect bearing vibration signals of target auxiliary equipment based on a preset frequency response module; Measuring the rotation speed of the target auxiliary device by a rotation speed measuring device; generating a signal spectrum diagram according to the bearing vibration signal; The correlation between the amplitude of the bearing vibration signal and the rotational speed is analyzed to generate a Bode diagram.

3. The rolling bearing fault diagnosis method according to claim 1, characterized in that: The method includes collecting the bearing vibration signal of the target auxiliary equipment based on the preset frequency response module and generating a signal spectrum diagram and a Bode diagram, and the like. According to the fault frequency library of the bearing components of the auxiliary equipment, frequency response modules of the low frequency band, the middle frequency band and the high frequency band are respectively configured to obtain a preset frequency response module; The preset frequency response module is arranged at the housing position of the target auxiliary device or at the position with the highest vibration response, so that the preset frequency response module and the target auxiliary device reach a resonance state; A vibration acceleration sensor is arranged on the preset frequency response module, wherein the vibration acceleration sensor is used to measure a vibration signal.

4. The rolling bearing fault diagnosis method according to claim 1, characterized in that: The fault judgment analysis is performed according to the vibration peak frequency and the current signal to obtain the fault diagnosis result, including: Calculating the ratio between the vibration peak frequency and the rotation speed frequency to obtain a frequency ratio; If the frequency ratio is an integer and the frequency ratio is within a preset ratio range, analyzing the current signal; It is determined whether the current signal is abnormal. If so, it is determined to be a high-frequency vibration fault. If not, it is determined to be a bearing fault.

5. The rolling bearing fault diagnosis method according to claim 4, characterized in that: If the frequency ratio is an integer and the frequency ratio is within a preset ratio range, analyzing the current signal further includes: If the frequency ratio is a non-integer, the vibration peak frequency is compared with the component reference fault frequency to obtain a frequency deviation; If the frequency deviation is less than the deviation threshold, it is determined to be a bearing fault; If the frequency deviation exceeds the deviation threshold, it is determined to be a motor failure.

6. A rolling bearing fault diagnosis device, characterized in that: include: A signal processing unit, used to collect a bearing vibration signal of a target auxiliary device based on a preset frequency response module, and generate a signal spectrum diagram and a Bode diagram, wherein the preset frequency response module is used to resonate with the target auxiliary device; A vibration analysis unit, used to determine whether there is a target vibration peak at the measuring point according to the signal spectrum diagram and the Bode diagram, and if so, obtain the frequency corresponding to the target vibration peak to obtain the vibration peak frequency; The fault judgment unit is used to perform fault judgment and analysis according to the vibration peak frequency and the current signal to obtain a fault diagnosis result.

7. The rolling bearing fault diagnosis device according to claim 6, characterized in that: The signal processing unit is specifically used for: Collect bearing vibration signals of target auxiliary equipment based on a preset frequency response module; Measuring the rotation speed of the target auxiliary device by a rotation speed measuring device; generating a signal spectrum diagram according to the bearing vibration signal; The correlation between the amplitude of the bearing vibration signal and the rotational speed is analyzed to generate a Bode diagram.

8. The rolling bearing fault diagnosis device according to claim 6, characterized in that: The fault judgment unit specifically includes: A ratio calculation subunit, used to calculate the ratio between the vibration peak frequency and the rotation speed frequency to obtain a frequency ratio; a ratio determination subunit, configured to analyze the current signal if the frequency ratio is an integer and is within a preset ratio range; The fault analysis subunit is used to determine whether the current signal is abnormal. If so, it is determined to be a high-frequency vibration fault; if not, it is determined to be a bearing fault.

9. The rolling bearing fault diagnosis device according to claim 8, characterized in that: It also includes a frequency judgment analysis unit, which is specifically used for: If the frequency ratio is a non-integer, the vibration peak frequency is compared with the component reference fault frequency to obtain a frequency deviation; If the frequency deviation is less than the deviation threshold, it is determined to be a bearing fault; If the frequency deviation exceeds the deviation threshold, it is determined to be a motor failure.

10. A rolling bearing fault diagnosis device, characterized in that: The device comprises a processor and a memory; The memory is used to store program code and transmit the program code to the processor; The processor is used to execute the rolling bearing fault diagnosis method according to any one of claims 1 to 5 according to the instructions in the program code.

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