Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA

doi:10.1007/s12206-022-0607-7

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA
	Huang, Hua 1; Xue, Wenhu 1; Pang, Qianzhi 2
刊名	JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
	2022-07-01
卷号	36 期号:7 页码:3263-3276
关键词	Compound fault Fast ICA Improved harmonic wavelet packet decomposition Rolling bearing fault diagnosis
ISSN号	1738-494X
DOI	10.1007/s12206-022-0607-7
英文摘要	Compound fault characteristics in single-channel vibration signals of rolling bearings are difficult to separate. On the basis of improved harmonic wavelet packet decomposition and fast independent component analysis (FICA), this study proposes a new method to address this problem. First, a series of mutually independent frequency bands are obtained after harmonic wavelet packet decomposition of the initial vibration signal to satisfy the requirement that the number of observed signals must be larger than the number of source signals in the FICA algorithm. Second, the optimal frequency bands are selected based on the maximum kurtosis index and used as the input matrix of the FICA algorithm to separate the compound fault characteristics further. Lastly, accurate separation and extraction of the compound fault characteristics of the rolling bearings are realized. Results show that the proposed method can effectively separate the compound fault characteristics in the single-channel vibration signals of the bearings.
WOS研究方向	Engineering
语种	英语
出版者	KOREAN SOC MECHANICAL ENGINEERS
WOS记录号	WOS:000819898500001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/158850]
专题	机电工程学院外国语学院
作者单位	1.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Peoples R China; 2.Lanzhou Univ Technol, Sch Foreign Languages, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Huang, Hua,Xue, Wenhu,Pang, Qianzhi. Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA[J]. JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY,2022,36(7):3263-3276.
APA	Huang, Hua,Xue, Wenhu,&Pang, Qianzhi.(2022).Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA.JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY,36(7),3263-3276.
MLA	Huang, Hua,et al."Separation method of rolling bearing compound fault characteristics based on Improved harmonic wavelet packet decomposition and fast ICA".JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY 36.7(2022):3263-3276.