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Bearing fault diagnosis method

A fault diagnosis and bearing technology, applied in mechanical bearing testing, special data processing applications, instruments, etc., can solve problems such as noise interference, and achieve the effect of eliminating noise components, improving accuracy, and improving signal-to-noise ratio.

Inactive Publication Date: 2014-12-24
CHINA HELICOPTER RES & DEV INST
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Problems solved by technology

[0005] The method of combining flexible morphological filtering and LMD can solve the problem of noise interference

Method used

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Embodiment Construction

[0044] The combination of flexible morphological filtering and LMD can effectively eliminate the noise component of the signal, reduce the interference of noise to the LMD method, and extract the fault characteristic frequency more accurately. A more effective method is provided for successfully diagnosing rolling bearing faults in transmission systems.

[0045] Firstly, it is planned to use the FM and AM nonlinear simulation signal containing random noise for flexible shape filtering and LMD decomposition analysis, the form of which is as follows:

[0046] x 1 ( t ) = ( 1 + 0.4 cos ( 2 ...

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Abstract

The invention discloses a bearing fault diagnosis method and belongs to the field of mechanical faults. The method comprises the steps of denoising an acquired vibration signal with the flexible morphological filtering method to increase the signal to noise ratio, conducting LMD on the denoised vibration signal to obtain PF components, conducting spectral analysis on each PF component to obtain a spectrogram, and extracting fault character frequency from the obtained power spectrogram. The method has the advantages that the vibration signal is denoised with the flexible morphological filtering method so that noise in the vibration signal can be eliminated, fault frequency subjected to frequency spectrum correction is closer to actual fault character frequency than uncorrected fault frequency, and the accuracy of bearing fault diagnosis is improved.

Description

technical field [0001] The invention belongs to the field of mechanical faults, and relates to a bearing fault diagnosis method combining a flexible shape filtering method and an LMD. Background technique [0002] Rolling bearings are the most widely used mechanical components in various rotating machinery. Its operating state directly affects the performance of the equipment. When there is a local defect, a pulse impact will be generated during the operation, and the frequency of the pulse signal generated by different parts is different. , if the shock pulse signal can be effectively extracted, the location of the defect can be diagnosed. Common fault feature extraction methods mainly include Fast Fourier transform (FFT), wavelet transform and empirical mode decomposition (Empirical mode decomposition, EMD). In 2005, Jonathan.Smith proposed a new adaptive time-frequency analysis method, called Local Mean Decomposition (LMD for short), which was successfully applied to the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04G06F19/00
Inventor 孙伟李新民刘正江邓建军陈焕金小强王江华陈卫星陈峰熊景斌蔡士整
Owner CHINA HELICOPTER RES & DEV INST
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