基于时域流形稀疏重构方法的滚动轴承故障特征增强研究

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Abstract Vibration signaldenoisinghas been one of the most important tasks in signal processing for rolling element bearing fault diagnosis. This paper proposes a new method named time-domain manifold sparse reconstruction method by combining the advantages of time-domain manifold (TM) and matching pursuit (MP). The TM shows the merits of noise suppression and fault information enhancement but it can’t maintain the amplitude information of the signal due to its nonlinear processing. The ability of denoising for the MP is related to the atomitself.Because of the inability to ensure that the selected atoms are the most suitable,the ability of the noise reduction is limited.The method proposed by this paper overcomes these problems. Firstly, we find the most appropriate atoms from an overcomplete dictionary based on the TM result by the MP method. Secondly, we compute the coefficients from the atoms and the origianl signal. Finally, we reconstruct the signal by the atoms and the coefficients achieved before. The proposed method has been employed to deal with defective bearing signals to verify the effectiveness. The results show that the new method is superior to the TM and the MP.

Received: 25 June 2015 Published: 15 December 2016

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	Articles by authors
	ZHANG Wenqing1
	2
	HE Qingbo1
	DING Xiaoxi1
	HAN Jie2
	XIE Mingwei2

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ZHANG Wenqing1,2,HE Qingbo1, et al. Rolling Element Bearing Fault Signature EnhancementBased on Time-Domain ManifoldSparse Reconstruction Method[J]. JOURNAL OF VIBRATION AND SHOCK, 2016, 35(24): 189-195.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2016/V35/I24/189

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