Bearing fault diagnosis method based on adaptive variational mode extraction

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (15) : 83-91.

WANG Xin, JIANG Xingxing, SONG Qiuyu, DU Guifu, ZHU Zhongkui

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Abstract

Variational mode extraction (VME) can extract specific mode component from the complicated signal, but its application in bearing fault diagnosis is affected by initial center frequency and balance parameter. Therefore, in order to overcome the problem of setting hyperparameters in the application of VME in bearing fault diagnosis, the iterative updating process of center frequency of VME model is deeply explored to find the convergence trend of center frequency whose rationality is proved by theory. Then, a center frequency location strategy is formulated to adaptively determine the target center frequency. In order to match the maximize fault information, a balance parameter optimization strategy based on the ratio of fault characteristic amplitude is constructed, which can optimize the bandwidth of the target mode. The above center frequency location and balance parameter optimization strategy constitute a fault diagnosis method based on adaptive variational mode extraction, which can adaptively extract fault related components without presetting the initial center frequency and balance parameter. Compared with successive variational mode decomposition, empirical mode decomposition and fast Kurtogram method, the proposed method is more effective and superior in the field of bearing fault diagnosis.

Key words

variational mode extraction / center frequency / balance parameter / rolling bearing / fault diagnosis

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WANG Xin, JIANG Xingxing, SONG Qiuyu, DU Guifu, ZHU Zhongkui. Bearing fault diagnosis method based on adaptive variational mode extraction[J]. Journal of Vibration and Shock, 2023, 42(15): 83-91

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