Rolling bearing fault feature extraction based on variational mode decomposition and Teager energy operator

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Journal of Vibration and Shock ›› 2016, Vol. 35 ›› Issue (13) : 134-139.

Ma Zeng-qiang, Li Ya-chao, Liu Zheng, Guang Chao-jian

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Abstract

In order to solve the problems that the fault feature of rolling bearing in early failure period is difficult to extract, an incipient fault diagnosis method for rolling bearing based on variational mode decomposition (VMD) and Teager energy operator was proposed. Firstly, VMD was used to decompose the fault signal into several intrinsic mode functions (IMFs), and then the IMF of biggest kurtosis was selected with Kurtosis Criterion and demodulated into Teager energy spectrum with Teager energy operator. The proposed method was applied to simulated signals and actual signals. The results show that this method improves the efficiency of signal decomposition and reduces the effect of noise, enabling accurate diagnosis of rolling bearing fault, the analysis results demonstrated the effectiveness of the proposed method.

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rolling bearing / fault diagnosis / variational mode decomposition / Teager energy operator

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Ma Zeng-qiang, Li Ya-chao, Liu Zheng, Guang Chao-jian. Rolling bearing fault feature extraction based on variational mode decomposition and Teager energy operator[J]. Journal of Vibration and Shock, 2016, 35(13): 134-139

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