Gearbox rolling bearing fault analysis method and system

Abstract

The application provides a gear box rolling bearing fault analysis method and system, and the method comprises the following steps: acquiring baseline data of each vibration parameter of the rolling bearing, wherein the vibration parameter comprises an envelope parameter and an acceleration parameter; processing the envelope parameter through envelope demodulation to determine whether a first bearing defect feature exists in an envelope spectrum; processing the acceleration parameter through fast Fourier transform to determine whether a second bearing defect feature exists in an acceleration spectrum; and giving a prewarning for the rolling bearing fault according to the first bearing defect feature and the second bearing defect feature. According to the scheme, the envelope parameter and the acceleration parameter are processed through envelope demodulation and fast Fourier transform respectively, double features for judging the rolling bearing fault can be obtained, the double features are analyzed, the current condition of the ball bearing can be accurately judged, the gear box bearing fault can be early warned, and important equipment downtime accidents can be avoided.

Description

Technical Field

[0001] This invention relates to the field of gearbox fault analysis technology, and more particularly to a method and system for analyzing the faults of rolling bearings in gearboxes. Background Technology

[0002] In online fault diagnosis of bar stock gearboxes, bearing failures account for as high as 50%-60%. Unplanned production stoppages caused by gearbox failures can result in significant losses. The analog output signal from the accelerometer mounted on the bearing housing is highly complex, consisting of a mixture of noise, high-frequency carrier waves, low-frequency modulated waves, and stress waves. Vibration analysts cannot accurately extract bearing defect characteristics, which is detrimental to maintenance decisions. Furthermore, because the vibration signals of bearing defects are weak, conventional analysis methods are highly likely to overlook these defects, leading to misdiagnosis and potentially causing critical equipment downtime. Therefore, an accurate, reliable vibration analysis method capable of providing early warnings of gearbox bearing failures is needed. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for analyzing rolling bearing faults in gearboxes, which can solve the problem in the prior art that the vibration signal of bearing defects is weak, or the analog output signal of the acceleration sensor installed on the bearing housing is very complex, which makes it impossible to accurately extract the bearing defect characteristics and to accurately predict bearing faults.

[0004] The technical solution provided by this invention is as follows:

[0005] This invention provides a method for analyzing the failure of rolling bearings in gearboxes, comprising the following steps:

[0006] Baseline data of various vibration parameters of the rolling bearing are obtained, including envelope parameters and acceleration parameters;

[0007] The envelope parameters are processed by envelope demodulation to determine whether the first bearing defect feature exists in the envelope spectrum;

[0008] The acceleration parameters are processed by Fast Fourier Transform to determine whether there are second bearing defect features in the acceleration spectrum;

[0009] Early warning of rolling bearing failure is provided based on the first bearing defect characteristics and the second bearing defect characteristics.

[0010] By acquiring baseline data of various vibration parameters of rolling bearings and combining envelope demodulation with fast Fourier transform, the envelope parameter and acceleration parameter in the vibration parameters are processed separately. This allows for the acquisition of dual features for judging rolling bearing faults. By combining and analyzing these dual features, the current condition of the ball bearing can be accurately determined, and early warning of gearbox bearing faults can be provided to avoid important equipment downtime accidents.

[0011] In some embodiments, the method of providing early warning of rolling bearing failure based on the first bearing defect characteristics and the second bearing defect characteristics includes:

[0012] If the envelope spectrum contains the first bearing defect feature, the envelope value is less than the first preset value, and the acceleration spectrum does not contain the second bearing defect feature, then it is determined that the rolling bearing has an early defect.

[0013] Specifically, if the envelope spectrum contains the first bearing defect characteristic and the envelope value is less than the first preset value, while no bearing defect characteristic is found in the acceleration spectrum, it indicates that the rolling bearing has an early defect. At this time, the bearing defect is very likely invisible to the naked eye. No repair is needed during this period; only periodic vibration data collection is required to observe bearing deterioration.

[0014] In some embodiments, the method of providing early warning of rolling bearing failure based on the first bearing defect characteristics and the second bearing defect characteristics further includes:

[0015] If the first bearing defect feature exists in the envelope spectrum, the envelope value is greater than the first preset value, and the second bearing defect feature exists at low frequency in the acceleration spectrum, then an early warning is issued.

[0016] Specifically, when the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the first preset value; at the same time, the bearing defect feature frequency and its harmonics are found in the low frequency of the acceleration spectrum, accompanied by the increase of acceleration passband energy, it indicates that the bearing defect has developed to a point that can be seen with the naked eye. At this time, the workshop needs to be notified and an early warning needs to be issued.

[0017] In some implementations, the first preset value is twice the baseline data value of the envelope parameter.

[0018] In this embodiment, based on actual scenarios and experience, the first preset value is set to twice the baseline data value of the envelope parameter. In other embodiments, the size of the first preset value can be adjusted according to actual conditions and needs.

[0019] In some implementations, the aforementioned early warning specifically includes:

[0020] Analyze the location of the rolling bearing failure;

[0021] Increase the frequency at which the vibration parameters at the fault location are acquired.

[0022] Specifically, when issuing an early warning, it is necessary to first analyze and determine the location of the rolling bearing fault, strengthen the inspection of the fault location, appropriately increase the vibration measurement frequency, and observe the bearing deterioration condition.

[0023] In some embodiments, the method of providing early warning of rolling bearing failure based on the first bearing defect characteristics and the second bearing defect characteristics further includes:

[0024] If the first bearing defect feature exists in the envelope spectrum, the envelope value is greater than the second preset value, and the second bearing defect feature exists at low frequency in the acceleration spectrum, an alarm is triggered, and the remaining life of the rolling bearing is predicted.

[0025] Specifically, if the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the second preset value; at the same time, the bearing defect feature frequency and its harmonics are found at low frequencies in the acceleration spectrum, accompanied by a significant increase in the energy of the acceleration passband value, it indicates that the bearing deterioration has become serious and an alarm needs to be triggered. The remaining life of the rolling bearing should be predicted, and the bearing should be replaced while increasing the intensity of vibration measurement.

[0026] In some implementations, the second preset value is four times the baseline data value of the envelope parameter.

[0027] In this embodiment, based on actual scenarios and experience, the second preset value is set to four times the baseline data value of the envelope parameter. In other embodiments, the size of the second preset value can be adjusted according to actual conditions and needs.

[0028] In some embodiments, the vibration parameter further includes a velocity parameter;

[0029] After obtaining the baseline data of each vibration parameter of the rolling bearing, the method further includes:

[0030] The speed parameters are processed by Fast Fourier Transform, and the misalignment, imbalance, and loose foundation of the rolling bearing are determined based on the processing results.

[0031] When obtaining baseline data of vibration parameters of rolling bearings, velocity parameters can also be obtained. Velocity parameters are also processed using fast Fourier transform. Velocity parameters are used to analyze faults such as misalignment, imbalance and loose foundation of rolling bearings.

[0032] In addition, the present invention also provides a gearbox rolling bearing fault analysis system, comprising:

[0033] The acquisition module is used to acquire baseline data of various vibration parameters of the rolling bearing, including envelope parameters and acceleration parameters;

[0034] The first judgment module is used to process the envelope parameters through envelope demodulation to determine whether there are first bearing defect features in the envelope spectrum;

[0035] The second judgment module processes the acceleration parameters through fast Fourier transform to determine whether there are second bearing defect features in the acceleration spectrum;

[0036] The early warning module is used to provide early warning of rolling bearing failures based on the first bearing defect characteristics and the second bearing defect characteristics.

[0037] By acquiring baseline data of various vibration parameters of rolling bearings and combining envelope demodulation with Fast Fourier Transform, the envelope and acceleration parameters in the vibration parameters are processed separately to obtain dual features for judging rolling bearing faults. Combining these dual features for analysis allows for accurate assessment of the current condition of the ball bearing and early warning of gearbox bearing failures, preventing downtime of critical equipment.

[0038] In some implementations, the early warning module includes:

[0039] The judgment unit is used to determine that the rolling bearing has an early defect if the first bearing defect feature exists in the envelope spectrum, the envelope value is less than a first preset value, and the second bearing defect feature does not exist in the acceleration spectrum.

[0040] The early warning unit is used to issue an early warning when the first bearing defect feature exists in the envelope spectrum, the envelope value is greater than a first preset value, and the second bearing defect feature exists at a low frequency in the acceleration spectrum;

[0041] An alarm unit is used to issue an alarm and predict the remaining life of the rolling bearing when the first bearing defect feature exists in the envelope spectrum, the envelope value is greater than a second preset value, and the second bearing defect feature exists at a low frequency in the acceleration spectrum.

[0042] Specifically, if the envelope spectrum contains the first bearing defect characteristic and the envelope value is less than the first preset value, while no bearing defect characteristic is found in the acceleration spectrum, it indicates that the rolling bearing has an early defect. At this time, the bearing defect is very likely invisible to the naked eye. No repair is needed during this period; only periodic vibration data collection is required to observe bearing deterioration.

[0043] When the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the first preset value; at the same time, the bearing defect feature frequency and its harmonics are found in the low frequency of the acceleration spectrum, accompanied by the increase of acceleration passband energy, it indicates that the bearing defect has developed to a point that can be seen with the naked eye. At this time, the workshop needs to be notified and an early warning needs to be issued.

[0044] If the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the second preset value; at the same time, the bearing defect feature frequency and its harmonics are found at low frequencies in the acceleration spectrum, accompanied by a significant increase in the acceleration passband energy, it indicates that the bearing deterioration has become serious and an alarm needs to be triggered. The remaining life of the rolling bearing should be predicted, and the bearing replacement should be considered while increasing the intensity of vibration measurement.

[0045] According to the present invention, a method and system for analyzing rolling bearing faults in a gearbox are provided. By acquiring baseline data of various vibration parameters of the rolling bearing and combining envelope demodulation with fast Fourier transform, the envelope parameter and acceleration parameter in the vibration parameters are processed respectively to obtain dual features for judging rolling bearing faults. By combining the dual features for analysis, the current condition of the ball bearing can be accurately judged and early warning of gearbox bearing faults can be provided to avoid important equipment downtime accidents. Attached Figure Description

[0046] The preferred embodiments will now be described in a clear and easy-to-understand manner, with reference to the accompanying drawings, to further explain the above-mentioned characteristics, technical features, advantages, and implementation methods of this solution.

[0047] Figure 1 This is a schematic diagram of the overall process of an embodiment of the present invention;

[0048] Figure 2 This is a schematic diagram of the envelope demodulation process according to an embodiment of the present invention;

[0049] Figure 3 This is a schematic diagram of the system structure according to an embodiment of the present invention.

[0050] The numbers in the diagram are: 1-Acquisition module; 2-First judgment module; 3-Second judgment module; 4-Early warning module; 41-Judgment unit; 42-Early warning unit; 43-Alarm unit. Detailed Implementation

[0051] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the specific implementation methods of the present invention will be described below with reference to the accompanying drawings. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings and other implementation methods can be obtained based on these drawings without any creative effort.

[0052] To keep the drawings concise, only the parts relevant to the invention are shown schematically in each figure, and they do not represent the actual structure of the product. Furthermore, for ease of understanding, in some figures, only one of components with the same structure or function is shown schematically, or only one is labeled. In this document, "one" can mean not only "only one" but also "more than one".

[0053] In one embodiment, refer to the accompanying drawings. Figure 1 This invention provides a method for analyzing the failure of rolling bearings in a gearbox, comprising the following steps:

[0054] S1. Obtain baseline data for each vibration parameter of the rolling bearing, including envelope parameters and acceleration parameters.

[0055] S2. Process the envelope parameters through envelope demodulation to determine whether the first bearing defect feature exists in the envelope spectrum.

[0056] S3. Process the acceleration parameters using Fast Fourier Transform to determine whether there are second bearing defect features in the acceleration spectrum.

[0057] S4. Provide early warning of rolling bearing failure based on the defect characteristics of the first bearing and the defect characteristics of the second bearing.

[0058] When defects such as pitting, spalling, or significant wear occur on the outer ring of a bearing, the collision between the outer ring and the rolling elements is reflected in the vibration signal as a pulsed impact. This pulsed impact is a periodic, forced vibration with a period that is the reciprocal of the characteristic frequency of the bearing outer ring fault. The impact caused by the bearing fault excites the resonant frequency of the bearing components at high frequencies. In this case, the bearing outer ring fault acts as the modulation frequency, and the resonant frequency of the bearing components acts as the carrier frequency. The vibration frequency is generally between 1kHz and 20kHz, while the vibration intensity caused by the fault impact is extremely weak, resulting in a narrow impact pulse width. This minute impact is carried along by a strong, normal low-frequency vibration, a typical case of a normal signal being accompanied by an instantaneous anomaly. These weak impacts are difficult to extract from conventional vibration signals. This is detrimental to the early diagnosis of gearbox faults.

[0059] This solution extracts minute impact signals using envelope demodulation technology. Envelope demodulation is an effective method for extracting minute impacts in gearboxes because impacts caused by bearing defects can make the bearing structure vibrate, generating a sine wave related to the resonant frequency of the bearing components. Envelope demodulation technology primarily selects a useful resonant frequency region and, through filtering, shifting, and transformation, obtains a low-frequency envelope signal containing the fault frequency. The purpose of envelope demodulation is to demodulate the high-frequency modulation signal related to the fault.

[0060] Envelope demodulation focuses on amplitude modulation (AM), which involves changing the amplitude of the modulated signal to match the amplitude of the modulating signal. Therefore, the envelope shape of the AM signal is identical to that of the modulating signal. If the envelope of the AM signal can be detected, the modulating signal can be demodulated. Refer to the accompanying diagram in the instruction manual for details. Figure 2 , Figure 2 In the diagram, (a) represents a random signal on the bearing housing; (b) represents an amplified fault impact; (c) represents an amplified weak pulse signal, which is proportional to the fault impact intensity; (d) represents the envelope detection and the demodulation frequency after low-pass filtering; and (e) represents the frequency domain of the modulated wave.

[0061] The envelope parameter is based on resonance demodulation theory and uses Hilbert transform in signal processing algorithms. Therefore, the envelope parameter is a specially processed vibration characteristic used to detect early defects in bearings. The acceleration parameter uses Fast Fourier Transform (FFT) in signal processing algorithms, and the energy in the spectrum can be mathematically converted between each other.

[0062] By acquiring baseline data of various vibration parameters of rolling bearings and combining envelope demodulation with fast Fourier transform, the envelope parameter and acceleration parameter in the vibration parameters are processed separately. This allows for the acquisition of dual features for judging rolling bearing faults. By combining and analyzing these dual features, the current condition of the ball bearing can be accurately determined, and early warning of gearbox bearing faults can be provided to avoid important equipment downtime accidents.

[0063] In one embodiment, providing early warning of rolling bearing failure based on first bearing defect characteristics and second bearing defect characteristics includes:

[0064] If the envelope spectrum contains the first bearing defect feature, the envelope value is less than the first preset value, and the acceleration spectrum does not contain the second bearing defect feature, then it is determined that the rolling bearing has an early defect.

[0065] Specifically, if the envelope spectrum contains the first bearing defect characteristic and the envelope value is less than the first preset value, while no bearing defect characteristic is found in the acceleration spectrum, it indicates that the rolling bearing has an early defect. At this time, the bearing defect is very likely invisible to the naked eye. No repair is needed during this period; only periodic vibration data collection is required to observe bearing deterioration.

[0066] In one embodiment, the method for providing early warning of rolling bearing failure based on first bearing defect characteristics and second bearing defect characteristics further includes:

[0067] If the envelope spectrum contains a first bearing defect feature and the envelope value is greater than the first preset value, and the acceleration spectrum contains a second bearing defect feature at low frequencies, then an early warning will be issued.

[0068] Specifically, when the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the first preset value; at the same time, the bearing defect feature frequency and its harmonics are found in the low frequency of the acceleration spectrum, accompanied by the increase of acceleration passband energy, it indicates that the bearing defect has developed to a point that can be seen with the naked eye. At this time, the workshop needs to be notified and an early warning needs to be issued.

[0069] In one embodiment, the first preset value is twice the baseline data value of the envelope parameter.

[0070] In this embodiment, based on actual scenarios and experience, the first preset value is set to twice the baseline data value of the envelope parameter. In other embodiments, the size of the first preset value can be adjusted according to actual conditions and needs.

[0071] In one embodiment, issuing an early warning specifically includes:

[0072] Analyze the fault location of the rolling bearing; increase the frequency of obtaining vibration parameters at the fault location.

[0073] Specifically, when issuing an early warning, it is necessary to first analyze and determine the location of the rolling bearing fault, strengthen the inspection of the fault location, appropriately increase the vibration measurement frequency, and observe the bearing deterioration condition.

[0074] In one embodiment, the method for providing early warning of rolling bearing failure based on first bearing defect characteristics and second bearing defect characteristics further includes:

[0075] If the envelope spectrum contains a first bearing defect feature, the envelope value is greater than the second preset value, and the acceleration spectrum contains a second bearing defect feature at low frequencies, an alarm will be triggered, and the remaining life of the rolling bearing will be predicted.

[0076] Specifically, if the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the second preset value; at the same time, the bearing defect feature frequency and its harmonics are found at low frequencies in the acceleration spectrum, accompanied by a significant increase in the energy of the acceleration passband value, it indicates that the bearing deterioration has become serious, an alarm needs to be triggered, and the remaining life of the rolling bearing needs to be predicted. While increasing the intensity of vibration measurement, it is necessary to consider replacing the bearing.

[0077] In one embodiment, the second preset value is four times the baseline data value of the envelope parameter.

[0078] In this embodiment, based on actual scenarios and experience, the second preset value is set to four times the baseline data value of the envelope parameter. In other embodiments, the size of the second preset value can be adjusted according to actual conditions and needs.

[0079] In one embodiment, the vibration parameter also includes a velocity parameter;

[0080] After obtaining the baseline data for each vibration parameter of the rolling bearing, the following steps are also included:

[0081] The speed parameters are processed by Fast Fourier Transform, and the results are used to determine the misalignment, imbalance, and loose foundation of the rolling bearing.

[0082] When obtaining baseline data of vibration parameters of rolling bearings, velocity parameters can also be obtained. Velocity parameters are also processed using fast Fourier transform. Velocity parameters are used to analyze faults such as misalignment, imbalance and loose foundation of rolling bearings.

[0083] In one embodiment, refer to the accompanying drawings. Figure 3 The present invention also provides a gearbox rolling bearing fault analysis system, comprising: an acquisition module 1, a first judgment module 2, a second judgment module 3, and an early warning module 4.

[0084] The acquisition module 1 is used to acquire baseline data of various vibration parameters of the rolling bearing, including envelope parameters and acceleration parameters;

[0085] The first judgment module 2 is used to process the envelope parameters through envelope demodulation to determine whether there are first bearing defect features in the envelope spectrum;

[0086] The second judgment module 3 processes the acceleration parameters through fast Fourier transform to determine whether there are second bearing defect features in the acceleration spectrum;

[0087] The early warning module 4 is used to provide early warning of rolling bearing failures based on the defect characteristics of the first bearing and the defect characteristics of the second bearing.

[0088] By acquiring baseline data of various vibration parameters of rolling bearings and combining envelope demodulation with Fast Fourier Transform, the envelope and acceleration parameters in the vibration parameters are processed separately to obtain dual features for judging rolling bearing faults. Combining these dual features for analysis allows for accurate assessment of the current condition of the ball bearing and early warning of gearbox bearing failures, preventing downtime of critical equipment.

[0089] In one embodiment, the early warning module 4 includes a judgment unit 41, an early warning unit 42, and an alarm unit 43.

[0090] The judgment unit 41 is used to determine that the rolling bearing has an early defect if there is a first bearing defect feature in the envelope spectrum, the envelope value is less than a first preset value, and there is no second bearing defect feature in the acceleration spectrum.

[0091] The early warning unit 42 is used to issue an early warning when a first bearing defect feature exists in the envelope spectrum, the envelope value is greater than a first preset value, and a second bearing defect feature exists at a low frequency in the acceleration spectrum.

[0092] The alarm unit 43 is used to issue an alarm and predict the remaining life of the rolling bearing when a first bearing defect feature exists in the envelope spectrum, the envelope value is greater than a second preset value, and a second bearing defect feature exists at a low frequency in the acceleration spectrum.

[0093] Specifically, if the envelope spectrum contains the first bearing defect characteristic and the envelope value is less than the first preset value, while no bearing defect characteristic is found in the acceleration spectrum, it indicates that the rolling bearing has an early defect. At this time, the bearing defect is very likely invisible to the naked eye. No repair is needed during this period; only periodic vibration data collection is required to observe bearing deterioration.

[0094] When the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the first preset value; at the same time, the bearing defect feature frequency and its harmonics are found in the low frequency of the acceleration spectrum, accompanied by the increase of acceleration passband energy, it indicates that the bearing defect has developed to a point that can be seen with the naked eye. At this time, the workshop needs to be notified and an early warning needs to be issued.

[0095] If the first bearing defect feature is present in the envelope spectrum and the envelope value is greater than the second preset value; at the same time, the bearing defect feature frequency and its harmonics are found at low frequencies in the acceleration spectrum, accompanied by a significant increase in the acceleration passband energy, it indicates that the bearing deterioration has become serious and an alarm needs to be triggered. The remaining life of the rolling bearing should be predicted, and the bearing replacement should be considered while increasing the intensity of vibration measurement.

[0096] It should be noted that the above embodiments can be freely combined as needed. The above description is only a preferred embodiment of the present invention. It should be pointed out that for those skilled in the art, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for analyzing the failure of rolling bearings in a gearbox, characterized in that, Including the following steps: Baseline data of various vibration parameters of the rolling bearing are obtained, including envelope parameters and acceleration parameters; The envelope parameters are processed by envelope demodulation to determine whether the first bearing defect feature exists in the envelope spectrum; The acceleration parameters are processed by Fast Fourier Transform to determine whether there are second bearing defect features in the acceleration spectrum; Early warning of rolling bearing failure is provided based on the first bearing defect characteristics and the second bearing defect characteristics; If the first bearing defect feature exists in the envelope spectrum, the envelope value is less than the first preset value, and the second bearing defect feature does not exist in the acceleration spectrum, then it is determined that the rolling bearing has an early defect. If the first bearing defect feature exists in the envelope spectrum and the envelope value is greater than the first preset value, and the second bearing defect feature exists at low frequency in the acceleration spectrum, then an early warning is issued. If the first bearing defect feature exists in the envelope spectrum, the envelope value is greater than the second preset value, and the second bearing defect feature exists at low frequency in the acceleration spectrum, an alarm is triggered, and the remaining life of the rolling bearing is predicted.

2. The method for analyzing the failure of a gearbox rolling bearing according to claim 1, characterized in that, The first preset value is twice the baseline data value of the envelope parameter.

3. The method for analyzing the failure of a gearbox rolling bearing according to claim 1, characterized in that, The aforementioned early warning system specifically includes: Analyze the location of the rolling bearing failure; Increase the frequency at which the vibration parameters at the fault location are acquired.

4. The method for analyzing the failure of a gearbox rolling bearing according to claim 1, characterized in that, The second preset value is four times the baseline data value of the envelope parameter.

5. The method for analyzing the failure of a gearbox rolling bearing according to claim 1, characterized in that, The vibration parameters also include velocity parameters; After obtaining the baseline data of each vibration parameter of the rolling bearing, the method further includes: The speed parameters are processed by Fast Fourier Transform, and the misalignment, imbalance, and loose foundation of the rolling bearing are determined based on the processing results.

6. A gearbox rolling bearing fault analysis system, characterized in that, include: The acquisition module is used to acquire baseline data of various vibration parameters of the rolling bearing, including envelope parameters and acceleration parameters; The first judgment module is used to process the envelope parameters through envelope demodulation to determine whether there are first bearing defect features in the envelope spectrum; The second judgment module processes the acceleration parameters through fast Fourier transform to determine whether there are second bearing defect features in the acceleration spectrum; The early warning module is used to provide early warning of rolling bearing failures based on the first bearing defect characteristics and the second bearing defect characteristics; The early warning module includes: The judgment unit is used to determine that the rolling bearing has an early defect if the first bearing defect feature exists in the envelope spectrum, the envelope value is less than a first preset value, and the second bearing defect feature does not exist in the acceleration spectrum. The early warning unit is used to issue an early warning when the first bearing defect feature exists in the envelope spectrum, the envelope value is greater than a first preset value, and the second bearing defect feature exists at a low frequency in the acceleration spectrum; An alarm unit is used to issue an alarm and predict the remaining life of the rolling bearing when the first bearing defect feature exists in the envelope spectrum, the envelope value is greater than a second preset value, and the second bearing defect feature exists at a low frequency in the acceleration spectrum.

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