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Method for extracting rolling bearing fault features under strong interference

A technology for rolling bearings and fault characteristics, applied in the field of fault diagnosis technology and signal processing analysis, can solve the problems of difficult extraction of rolling bearings, and achieve the effect of enhancing the components of cyclic impact and eliminating abnormal impact.

Active Publication Date: 2020-06-05
XI AN JIAOTONG UNIV
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Problems solved by technology

[0004] In order to overcome the defects of the above-mentioned prior art, the object of the present invention is to provide a method for extracting rolling bearing fault features under strong interference, by using VMD to decompose the original signal into a series of IMF components, and then calculate the mean square envelope of each IMF component The fourth-order moment of the function and its narrow-band filtered fourth-order moment, and then obtain the kurtosis rate of each IMF component according to the above results, and finally select the IMF component with a larger kurtosis rate to reconstruct the signal, and use the mean square envelope analysis Extract the useful information in the reconstructed signal, and solve the problem that it is difficult to extract the fault features of rolling bearings under strong interference

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  • Method for extracting rolling bearing fault features under strong interference
  • Method for extracting rolling bearing fault features under strong interference
  • Method for extracting rolling bearing fault features under strong interference

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Embodiment Construction

[0020] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0021] Such as figure 1 As shown, a method for extracting rolling bearing fault features under strong interference, the specific steps of the method are as follows:

[0022] The specific parameters are as follows: 1) Use the method to analyze the rolling bearing fault data provided by Case Western Reserve University in the United States. The selected bearing model is 6205 type SKF rolling bearing, the diameter of the rolling ball is 7.94mm, and the contact angle between the rolling ball and the raceway 0°, the total number of rolling balls is 9, the diameter of the outer ring is 52 mm, and the diameter of the inner ring is 25 mm; 2) there is a single point damage to the inner raceway of the rolling bearing of 0.356 mm; 3) the rolling bearing in the embodiment is collected. The frequency is 29.1667Hz, and the sampling frequency is 48000Hz.

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Abstract

The invention discloses a method for extracting rolling bearing fault features under strong interference and belongs to the technical field of fault diagnosis and signal processing analysis. A vibration sensor is used for collecting acceleration vibration signals of a rolling bearing; a VDM is used for decomposing the acceleration vibration signal into a series of IMF components; a fourth moment of a mean square envelope function of each IMF component and a fourth moment after narrowband filtering of each IMF component are calculated, a kurtosis rate of each IMF component is calculated according to the result, and finally an IMF component reconstruction signal with a relatively high kurtosis rate is selected, and fault features of the rolling bearing are extracted by utilizing mean squareenvelope analysis; the invention provides a method for extracting rolling bearing fault characteristics when strong interference exists in background noise, and an effective diagnosis tool is providedfor realizing a self-diagnosis function of an intelligent bearing.

Description

technical field [0001] The invention belongs to the field of fault diagnosis technology and signal processing and analysis technology, and particularly relates to a method for extracting fault features of rolling bearings under strong interference. Background technique [0002] Rolling bearings are one of the important supporting components of rotating machinery, and the normal operation of the equipment is closely related to its operating status. The method of extracting fault features to diagnose rolling bearing faults by analyzing vibration signals is widely used. However, when the vibration signal collected under actual working conditions is subject to strong interference, the fault signal is easily overwhelmed by background noise and difficult to extract. In order to weaken the influence of strong interference in the background noise, it is necessary to reduce the noise of the original signal first and then improve the fault characteristics. [0003] Variational mode ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04G01M13/045
CPCG01M13/04G01M13/045
Inventor 闫柯康伟朱永生洪军刘煜炜袁倩倩高大为
Owner XI AN JIAOTONG UNIV
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