Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains

doi:10.1109/TITS.2023.3286867

	Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains
	Cheng, Chao 1; Ju, Yunfei 1; Xu, Shuiqing 2; Lv, Yisheng3 ; Chen, Hongtian 4
发表期刊	IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
ISSN	1524-9050
	2023-06-27
页码	9
通讯作者	Chen, Hongtian(hongtian.chen@sjtu.edu.cn)
摘要	Features of incipient faults are tiny in high-speed trains' electrical drive systems. Noises and disturbances in the external environment and sensors can mask incipient faults. Therefore, fault detection (FD) of incipient faults is a challenge. This paper proposes a new FD scheme using a novel manifold learning method named local linear generalized autoencoder (LLGAE). The prominent characteristics of the LLGAE-based FD method are three-fold: 1) it can realize FD for electric drive systems even without the physical model or expertise; 2) it still has good results for non-Gaussian electrical drives; 3) it entirely takes into account the locally linear structure of samples. Mathematical derivations have proved the proposed method. Through an experimental platform of high-speed trains, the proposed method is validated.
关键词	Incipient fault fault detection (FD) manifold learning generalized autocoder (GAE) electrical drive systems high-speed trains
DOI	10.1109/TITS.2023.3286867
关键词[WOS]	DIAGNOSIS
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[U20A20186] ; National Natural Science Foundation of China[62273128] ; National Natural Science Foundation of China[61803140] ; Department of Science and Technology of Jilin Province[20210201113GX] ; Changchun Science and Technology Bureau[21GD05]
项目资助者	National Natural Science Foundation of China ; Department of Science and Technology of Jilin Province ; Changchun Science and Technology Bureau
WOS研究方向	Engineering ; Transportation
WOS类目	Engineering, Civil ; Engineering, Electrical & Electronic ; Transportation Science & Technology
WOS记录号	WOS:001025558500001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/53658
专题	多模态人工智能系统全国重点实验室
通讯作者	Chen, Hongtian
作者单位	1.Changchun Univ Technol, Sch Comp Sci & Engn, Changchun 130012, Peoples R China 2.Hefei Univ Technol, Coll Elect Engn & Automat, Hefei 230009, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 4.Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Chao,Ju, Yunfei,Xu, Shuiqing,et al. Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,2023:9.
APA	Cheng, Chao,Ju, Yunfei,Xu, Shuiqing,Lv, Yisheng,&Chen, Hongtian.(2023).Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains.IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS,9.
MLA	Cheng, Chao,et al."Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains".IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023):9.