Application of lifting wavelet fractal strategy in feature extraction of motor bearing electrolytic corrosion fault

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (19) : 223-230.

CHEN Binqiang1, QING Tao1, CAO Xincheng1, HE Wangpeng2, ZENG Nianyin1

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Abstract

Electrolytic corrosion is a common physical phenomenon in service duration of roller bearing in an induction motor, which makes the surfaces of the bearing more vulnerable to localized mechanical damage. In order to enhance effectiveness of fault detection based on vibration measurement, a novel fractal lifting scheme (FLS) is proposed for signal decomposition. Implicit wavelet packets, generated by combination of neighboring wavelet packets, can address the problem of insufficient detection ability of classic dyadic discrete wavelet transform in transition band feature extraction, thus enhance the effectiveness of nonstationary transient component extraction. Mathematically we show that sets composed of implicit wavelet packets can be used to construct fractal geometry in the frequency-scale plane. A novel fault feature extraction method is proposed based on the combination of FLS and kurtosis. This method is applied to vibration signal analysis of a roller bearing in a high power induction motor installed on a leveling machine. Periodic impulses, induced by mechanical damage on the bearing, were successfully extracted in an ensemble wavelet packet generated by the fractal lifting scheme. Thus the electrolytic fault causing the mechanical damage was identified in a shutdown maintenance. The processing results by the proposed method are compared with some other mainstream methods to show its enhanced performance in fault feature isolation.
Key words: Induction motor; rolling bearing; electrolytic corrosion; lifting scheme; ensemble wavelet packet

Key words

Induction motor / rolling bearing / electrolytic corrosion / lifting scheme / ensemble wavelet packet

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CHEN Binqiang1, QING Tao1, CAO Xincheng1, HE Wangpeng2, ZENG Nianyin1. Application of lifting wavelet fractal strategy in feature extraction of motor bearing electrolytic corrosion fault[J]. Journal of Vibration and Shock, 2022, 41(19): 223-230

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