Fault diagnosis of rolling bearing based on typical correlated kurtogram

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (8) : 87-92.

LIU Wenpeng，LIU Yongqiang，YANG Shaopu，GU Xiaohui

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Abstract

In practical applications, the types of occurring faults on rolling bearing are typical and fault impact signal is cyclical. In view of the characteristics, a typical correlated kurtogram algorithm was proposed in this paper. Based on the ideas of typical kurtogram of hierarchy and selecting central frequency, the kurtosis was replaced by correlated kurtosis, not only avoiding the noise interference introduced by the wideband demodulation, but also making full use of the periodic information of typical fault impact, and then the method located typical fault impact signal interested in the frequency range rapidly, relying on the optimal spectral correlated kurtosis. And the algorithm was applied to determing the optimal demodulation frequency band. Through the study on simulation and wheelset bearing experiment signals, the results show that the typical correlated kurtogram algorithm can locate resonant frequency band effectively and adaptively and have a great superiority in both accuracy and stability.

Key words

rolling element bearing / fault diagnosis / typical correlated kurtogram / correlated kurtosis / high-frequency resonance technique;

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LIU Wenpeng，LIU Yongqiang，YANG Shaopu，GU Xiaohui. Fault diagnosis of rolling bearing based on typical correlated kurtogram[J]. Journal of Vibration and Shock, 2018, 37(8): 87-92

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