Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis

doi:10.1109/ACCESS.2019.2942371

IR > 机电工程学院

	Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis
	Li, Qiang 1; Yan, Changfeng1 ; Wang, Wei 2; Babiker, Abdalla 1; Wu, Lixiao1
	2019
发表期刊	IEEE ACCESS
ISSN	2169-3536
卷号	7 页码:138528-138540
摘要	The initial fault signal of rolling element bearing is extremely weak and could be easily masked by strong background noise. Different features of vibration signal can be different sensitivity to initial fault and performance degradation. Moreover, individual features cannot reflect bearing fault rationally and these features reveal non-monotonic behavior when the bearing condition deteriorates. A Health Indicator (HI) is proposed based on Mahalanobis Distance and Cumulative Sum (MD-CUMSUM). The time-frequency domain features extracted through Singular Value Decomposition based on Variational Mode Decomposition (VMD-SVD) and several optimal time domain features are used to calculate Mahalanobis Distances (MDs). The coarse-to-fine diagnosing strategy is proposed to determine the initial fault of rolling bearing. The obtained HI is utilized to estimate the different performance degradation stages of the bearing depending on the thresholds. This method is verified by utilizing two different experiments. The results demonstrate that the approach has the capability of estimating initial fault and determining degradation stages of bearing.
关键词	Coarse-to-fine diagnosing strategy health indicator initial fault MD-CUMSUM VMD-SVD
DOI	10.1109/ACCESS.2019.2942371
收录类别	SCI
语种	英语
资助项目	Program of the National Natural Science Foundation of China[51765034]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000498718300003
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：15[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/64124
专题	机电工程学院
通讯作者	Yan, Changfeng
作者单位	1.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Gansu, Peoples R China 2.Xian CAS Photoelect Precis Engn Co Ltd, Xian 710000, Shaanxi, 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	Li, Qiang,Yan, Changfeng,Wang, Wei,et al. Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis[J]. IEEE ACCESS,2019,7:138528-138540.
APA	Li, Qiang,Yan, Changfeng,Wang, Wei,Babiker, Abdalla,&Wu, Lixiao.(2019).Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis.IEEE ACCESS,7,138528-138540.
MLA	Li, Qiang,et al."Health Indicator Construction Based on MD-CUMSUM With Multi-Domain Features Selection for Rolling Element Bearing Fault Diagnosis".IEEE ACCESS 7(2019):138528-138540.