基于多尺度形态滤波和递归求差的冲击特征自适应分离方法

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Abstract Aiming at the difficult problem that the coupled impact feature extraction and separation in fault diagnosis, a method of adaptive extraction and separation of impact features based on multiscale morphological filtering (MMF) and recursive differencing was proposed. Firstly, the CMFH morphological operator suitable for impact feature separation is selected from the typical combinatorial operators using EA index and frequency response characteristic analysis; Secondly, the periodic impact features are extracted using the CMFH morphological operator and the weighted harmonic-to-noise ratio (WHNR) index; Then, the SOSO technique is used to suppress harmonic interference and white noise to further enhance the periodic impact features; Finally, the cyclic filter is constructed by iterative difference idea to extract and separate the periodic impact features at multiple scales. The simulation data and the analysis results of the traction motor bearing fault data show that the proposed method is better than the latest blind deconvolution (CYCBD) method and the classical spectral kurtosis method in extracting periodic impact under random impacts and harmonic disturbances.

Key words： multiscale morphological filtering impact features weighted harmonic-to-noise ratio compound faults

Received: 28 December 2022 Published: 15 March 2024

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	Articles by authors
	HE Dan1
	2
	QUAN Wei1
	TANG Mingjun3
	LIU Hui1

Cite this article:

HE Dan1,2,QUAN Wei1, et al. Adaptive separation method for impact features based on multiscale morphological filtering and recursive subtraction[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(5): 149-158.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I5/149

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