中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains

文献类型:期刊论文

作者Cheng, Chao4; Ju, Yunfei4; Xu, Shuiqing3; Lv, Yisheng2; Chen, Hongtian1
刊名IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
出版日期2023-06-27
页码9
ISSN号1524-9050
关键词Incipient fault fault detection (FD) manifold learning generalized autocoder (GAE) electrical drive systems high-speed trains
DOI10.1109/TITS.2023.3286867
通讯作者Chen, Hongtian(hongtian.chen@sjtu.edu.cn)
英文摘要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.
WOS关键词DIAGNOSIS
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]
WOS研究方向Engineering ; Transportation
语种英语
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号WOS:001025558500001
资助机构National Natural Science Foundation of China ; Department of Science and Technology of Jilin Province ; Changchun Science and Technology Bureau
源URL[http://ir.ia.ac.cn/handle/173211/53657]  
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.Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
3.Hefei Univ Technol, Coll Elect Engn & Automat, Hefei 230009, Peoples R China
4.Changchun Univ Technol, Sch Comp Sci & Engn, Changchun 130012, 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.

入库方式: OAI收割

来源:自动化研究所

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