基于双树复小波包自适应Teager能量谱的滚动轴承早期故障诊断

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Abstract Aiming at the early fault feature information of rolling bearings is difficult to identify, and the parameter setting of band-pass filter depends on the user experience, which makes the resonance frequency band can’t be effectively determined and extracted, the concept of amplitude entropy of frequency band is proposed. On this basis, the dual-tree complex wavelet packet transform and Teager energy spectrum was combined, a rolling bearing early fault feature extraction method is proposed based on dual-tree complex wavelet packet transform adaptive Teager energy spectrum. Firstly, original fault signals were decomposed into several different frequency components through wavelet packet transform, and the frequency amplitude entropy of each sub-band was calculated. Then the entropy were arranged in ascending order and in turn as a threshold to extract the entropy value greater than the threshold value of the sub bands. Based on kurtosis index to determine the optimal threshold and the best dual tree complex wavelet packet decomposition levels, thus, the resonance band was extracted adaptively and effectively. Finally, the Teager energy spectrum analysis of the resonance band was performed to identify the frequency of the bearing fault. Through the signal simulation and engineering experiment data analysis it verifies the effectiveness of the proposed method.

Key words： amplitude entropy of frequency band the dual-tree complex wavelet packet transform Teager energy spectrum the adaptive resonance frequency band extraction bearing fault;

Received: 26 January 2016 Published: 15 May 2017

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	Articles by authors
	REN Xue-ping
	WANG Chao-ge
	ZHANG Yu-hao
	WANG Jian-guo

Cite this article:

REN Xue-ping,WANG Chao-ge,ZHANG Yu-hao, et al. Early Fault Diagnosis of Rolling Bearing Based on Dual-tree Complex Wavelet Packet Transform Adaptive Teager Energy Spectrum[J]. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(10): 84-92.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2017/V36/I10/84

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