Bearing fault diagnosis method based on improved fast kurtosis graph

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (15) : 118-128.

YAN Yunxue, XU Chuannuo, CHENG Xuezhen, LI Jiming

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Abstract

Aiming at the problem that the frequency band range determined by calculating the envelope kurtosis of the filtered signal is easily disturbed by random pulses in the traditional Fast Kurtogram in bearing fault diagnosis, a bearing fault diagnosis method based on Improved Fast Kurtogram is proposed in this paper. Firstly, the envelope signal is processed by using autocorrelation algorithm and Improved Spectral Amplitude Modulation (ISAM) algorithm to obtain the modified signal, and the intensity of impact response is measured by its spectrum kurtosis. Then the envelope kurtosis in the traditional Fast Kurtogram is replaced by the modified signal spectrum kurtosis to obtain the Improved Fast Kurtogram which can reduce the random interference in each frequency band. Finally, the validity and stability of the proposed method are verified by comparing and analyzing the square envelope spectrum fault diagnosis of three groups of simulation signals with different Signal to Noise Ratio(SNR) and two groups of bearing experimental signals. And the superiority of this method is verified by comparing with the Original Fast Kurtogram, Power spectrum Kurtogram and ISAM. The comparison results show that the proposed method can effectively reduce the influence of random pulse and achieve accurate extraction of bearing fault feature frequency.

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bearing fault diagnosis / Improved Fast Kurtogram / the modified signal spectrum kurtosis / improved spectral amplitude modulation (ISAM) algorithm

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YAN Yunxue, XU Chuannuo, CHENG Xuezhen, LI Jiming. Bearing fault diagnosis method based on improved fast kurtosis graph[J]. Journal of Vibration and Shock, 2023, 42(15): 118-128

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