EMD-DCS based pseudo-fault feature identification method for rolling bearings

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (9) : 9-16.

CHI Yongwei1, YANG Shixi1, JIAO Weidong2, LIU Xuekun1

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Abstract

Pseudo-fault feature is the fault feature included in the vibration signals of healthy parts, which is caused by the faulty parts in the system.In the paper, a pseudo-fault feature recognition method based on empirical mode decomposition (EMD) and degree of cyclostationary (DCS) was proposed to identify the pseudo-fault feature of a rotor bearing system.The technical difficulties of rolling bearing fault diagnosis based on the single-channel pseudo-fault signal were analyzed by comparing the healthy and pseudo-fault signals of the rolling bearing.A dynamic model of the rotor-bearing system considering the rolling bearing slipping rate was established.The pseudo-fault feature of the rolling bearing was analyzed by the time-frequency method and the cyclic stationary method.The feature identification process of the rolling bearing pseudo-fault based on EMD-DCS was presented.An experiment of feature identification was carried out by using a rolling bearing fault simulator.The experimental results show that the EMD-DCS based method can effectively distinguish pseudo-fault features of rolling bearings from fault features.The research in the paper has theoretical significance and practical application value to ensure the equipment operation safety.

Key words

rotor-bearing system / pseudo-fault feature of rolling bearing / single-channel signal / empirical mode decompositon (EMD) / degree of cyclostationarity (DCS)

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CHI Yongwei1, YANG Shixi1, JIAO Weidong2, LIU Xuekun1. EMD-DCS based pseudo-fault feature identification method for rolling bearings[J]. Journal of Vibration and Shock, 2020, 39(9): 9-16

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