基于改进变分模态分解的滚动轴承故障诊断方法

doi:10.3969/j.issn.1000-1158.2020.06.14

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Abstract A fault diagnosis method for bearing fault signal with improved variational mode decomposition was proposed. Firstly, the improved singular value decomposition denoising method was used to denoise the signal, and then the signal was subjected to variational mode decomposition.By using the ratio of the sum of the energy of the component signal to the original signal energy, the decomposition effect of the variational mode decomposition was judged to find the optimal decomposition layer. And based on the correlation coefficient between the component signals, it was judged whether the component signal adjacent to the center frequency was from the same modulation portion in the signal. Finally, the fault characteristic frequency was found by the envelope spectrum of the main component, and the fault type was judged.The weak frequency characteristic information was successfully extracted by processing the simulated signal and the actual bearing fault signal, and the effectiveness of the method was verified.

Key words： metrology rolling bearing fault diagnosis variational mode decomposition singular value decomposition

Received: 11 September 2018 Published: 08 June 2020

PACS:	TB936
	TB973

Corresponding Authors: Zong MENG E-mail: mzysu@ysu.edu.cn

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	MENG Zong
	Lü Meng
	YIN Na
	LI Jing

Cite this article:

MENG Zong,Lü Meng,YIN Na, et al. Fault Diagnosis Method of Rolling Bearing Based on Improved Variational Mode Decomposition[J]. Acta Metrologica Sinica, 2020, 41(6): 717-723.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2020.06.14 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2020/V41/I6/717

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