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A rolling bearing fault diagnosis method and system

A rolling bearing and fault diagnosis technology, which is applied in the testing of machine/structural components, the testing of mechanical components, instruments, etc., can solve the problem of less adaptive selection method of penalty factor α, so as to overcome the uncertainty of accuracy and improve the accuracy. , to avoid the effect of aliasing

Active Publication Date: 2022-01-04
SHANDONG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, there are relatively few adaptive selection methods for the penalty factor α

Method used

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  • A rolling bearing fault diagnosis method and system
  • A rolling bearing fault diagnosis method and system
  • A rolling bearing fault diagnosis method and system

Examples

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Effect test

Embodiment 1

[0033] The present disclosure provides a rolling bearing fault diagnosis method, including:

[0034] Collect the vibration signal of the rolling bearing to be detected, and randomly divide the training set and the test set;

[0035] Input the vibration signal of the rolling bearing into the fault diagnosis model to obtain the fault diagnosis result;

[0036] The fault diagnosis model is obtained by forming a training set and a test set based on time-domain vibration signals of different fault types of rolling bearings for training and testing. The step of establishing the fault diagnosis model includes adaptively adapting the time-domain vibration signals of each fault type in the training set. The variational modal decomposition obtains the corresponding modal components, obtains the fault characteristics of each modal component, and uses the fault characteristics as the input of the classifier model; the penalty factor of the adaptive variational modal decomposition is deter...

Embodiment 2

[0059] The present disclosure provides a rolling bearing fault diagnosis system, including:

[0060] The data acquisition module is configured to: collect the vibration signal of the rolling bearing to be detected;

[0061] The fault diagnosis module is configured to: input the vibration signal of the rolling bearing into the fault diagnosis model to obtain the fault diagnosis result;

[0062] The fault diagnosis model is obtained by forming a training set and a test set based on time-domain vibration signals of different fault types of rolling bearings for training and testing. The step of establishing the fault diagnosis model includes adaptively adapting the time-domain vibration signals of each fault type in the training set. The variational modal decomposition obtains the corresponding modal components, obtains the fault characteristics of each modal component, and uses the fault characteristics as the input of the classifier model; the penalty factor of the adaptive vari...

Embodiment 3

[0065] A computer-readable storage medium is used for storing computer instructions. When the computer instructions are executed by a processor, the method for diagnosing rolling bearing faults as described in the above-mentioned embodiments is completed.

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Abstract

The present disclosure provides a rolling bearing fault diagnosis method and system, including: collecting the rolling bearing vibration signal to be detected; inputting the rolling bearing vibration signal into the fault diagnosis model to obtain the fault diagnosis result; the fault diagnosis model is based on the time domain of different fault types of the rolling bearing The vibration signal constitutes a training set and a test set for training and testing. The fault diagnosis model establishment step includes performing adaptive variational mode decomposition on the time-domain vibration signal of each fault type in the training set to obtain the corresponding modal components, and obtaining each The fault feature of the modal component, using the fault feature as the input of the classifier model; the penalty factor of the adaptive variational mode decomposition is determined according to the cross-correlation degree of the frequency spectrum; effectively avoiding the aliasing between the various modal components, Furthermore, the fault characteristic information of the vibration signal can be retained to the greatest extent, and the model can have better generalization performance.

Description

technical field [0001] The present disclosure relates to the field of rolling bearing fault diagnosis, in particular to a rolling bearing diagnosis method and system based on AVMD and AWPSO-ELM. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] With the further development of industrialization, more and more rotating machinery is applied to industrial scenes. Rolling bearings, as a typical device of rotating machinery, are the core basic components clearly listed in the "package" breakthrough action in the key areas of the national "Guidelines for the Implementation of Industrial Strong Foundation Project (2016-2020)", and play an extremely important role in rotating devices. role. The running state of rolling bearings affects the normal operation of mechanical equipment. If the bearings run in an abnormal state, it may cause irreparable...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/045
CPCG01M13/045
Inventor 张法业王金喜姜明顺张雷隋青美贾磊
Owner SHANDONG UNIV
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