Application of OPMCKD and ELMD in bearing compound fault diagnosis

YANG Bin1 ZHANG Jiawei1 Fan Gairong2 WANG Jianguo1

Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (11) : 59-67.

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (11) : 59-67.

Application of OPMCKD and ELMD in bearing compound fault diagnosis

  • YANG Bin1  ZHANG Jiawei1  Fan Gairong2  WANG Jianguo1
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Abstract

Compound faults of rolling bearings exist ubiquitously in mechanical equipment. Aiming at problems of multi-fault being difficult to separate and extract, a bearing compound fault diagnosis method based on the optimal parameter maximum correlated kurtosis deconvolution (OPMCKD) and the ensemble local mean decomposition (ELMD) was proposed. Firstly, the optimal filter length L and the shock period T in OPMCKD were screened, respectively using the permutation entropy values and the envelope spectrum sparsity to extract the main fault in rolling bearing. Then ELMD method was used to decompose nonstationary fault vibration signals into several components. After screening out the main fault information, OPMCKD was used to perform the secondary fault diagnosis. Through analyzing actual bearings’ fault vibration signals, it was shown that OPMCKD and ELMD can be used to effectively separate bearing compound fault signals, and have a certain practicability.

Key words

optimal parameter maxim correlated kurtosis deconvolution / Ensemble Local Mean decomposition / compound fault diagnosis / fault diagnosis

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YANG Bin1 ZHANG Jiawei1 Fan Gairong2 WANG Jianguo1. Application of OPMCKD and ELMD in bearing compound fault diagnosis[J]. Journal of Vibration and Shock, 2019, 38(11): 59-67

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