基于迭代增强变分模态提取的滚动轴承复合故障诊断

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Abstract To solve the problem of insufficient extraction capacity of variational mode extraction for multi-component composite faults and the existence of two hyperparameter optimizations of center frequency and balance factor, an iterative enhanced variational mode extraction (IEVM) method for composite fault diagnosis of rolling bearing was proposed. Firstly, an iterative variational mode extraction method (IVME) was proposed to optimize the initial center frequency of VME by introducing the convergence phenomenon of center frequency trend, so that it can find an appropriate initial center frequency to extract and add a new convergence criterion to extract the signal iteratively; Then, a plurality of component signals were obtained by optimizing the balance factor of IVME, and the optimal component was selected for reconstruction by means of the Graph-Laplace energy index; Secondly, in order to extract the main period in the composite fault signal, an enhanced minimum noise amplitude deconvolution (EMNAD) method was proposed, which combines enhanced algorithm subtraction to reduce the noise and enhance the relatively weak periodic signal; Finally, the composite fault diagnosis of rolling bearing was realized by fusion of square envelope spectrum. The proposed method was applied to the composite fault diagnosis of rolling bearing, and the effectiveness and robustness of the proposed IEVME method have been verified by simulation and example signals. The proposed method was compared with the existing multiple methods, and the results show that the proposed IEVME method has higher accuracy and better effect.

Key words： rolling bearing iterative enhanced variational mode extraction enhanced minimum noise amplitude deconvolution composite fault diagnosis

Received: 17 July 2023 Published: 15 April 2024

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	Articles by authors
	ZHANG Jiajun1
	MA Ping1
	ZHANG Hai2
	ZHANG Hongli1

Cite this article:

ZHANG Jiajun1,MA Ping1,ZHANG Hai2, et al. Composite fault diagnosis of rolling bearing based on iterative enhanced variational mode extraction[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(7): 255-265.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I7/255

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