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

IR > 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, Hua1 ; Xue, Wenhu 1; Pang, Qianzhi2
	2022-07
发表期刊	JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
ISSN	1738-494X
卷号	36 期号:7 页码:3263-3276
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.
关键词	Compound fault Fast ICA Improved harmonic wavelet packet decomposition Rolling bearing fault diagnosis
DOI	10.1007/s12206-022-0607-7
收录类别	SCIE ; EI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Mechanical
WOS记录号	WOS:000819898500001
出版者	KOREAN SOC MECHANICAL ENGINEERS
EI入藏号	20222712319909
EI主题词	Roller bearings
EI分类号	601.2 Machine Components802.3 Chemical Operations921 Mathematics921.3 Mathematical Transformations921.6 Numerical Methods
来源库	WOS
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/158850
专题	机电工程学院外国语学院
通讯作者	Huang, Hua
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
第一作者单位	兰州理工大学
通讯作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
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.