Application of multiscale morphological filter in fault diagnosis of planetary bearing

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (10) : 103-111.

LIU Zhiqiang1，GONG Tingkai2，CHEN Ping3，SHI Kai1

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Abstract

The fault signal of rolling element bearing in gearbox is weak and easy to be interfered, which leads to the difficulty of bearing fault feature extraction. In order to extract the weak fault feature in the signal, an adaptive multiscale generalized morphological filter (AMGMF) is proposed. The morphological transformation can suppress interference and enhance the ability of feature extraction. Firstly, aiming at defects of the difference filter, a generalized enhanced difference filter (GEDIF) is proposed. Amplitude frequency characteristics and pulse extraction characteristics are analyzed to reveal attributes of GEDIF. Secondly, lengths of flat structure elements are determined using local signal characteristics. Improved method of lengths selection can ensure adaptability and accuracy of morphological filter. Finally, weighted coefficients of structure elements are allocated with feature amplitude ratio (FAR). The result of AMGMF is obtained after weighted reconstruction. Through analyses of simulated signal and planetary bearing fault signal, the results show that AMGMF can effectively separate fault features from complex signals. Compared with single scale morphological filter, multiscale morphological filter and EEMD, AMGMF has certain advantages.

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fault diagnosis / feature extraction / planetary bearing / multiscale generalized morphological filter

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LIU Zhiqiang1，GONG Tingkai2，CHEN Ping3，SHI Kai1. Application of multiscale morphological filter in fault diagnosis of planetary bearing[J]. Journal of Vibration and Shock, 2023, 42(10): 103-111

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