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Local Linear Generalized Autoencoder-Based Incipient Fault Detection for Electrical Drive Systems of High-Speed Trains | |
Cheng, Chao1; Ju, Yunfei1; Xu, Shuiqing2; Lv, Yisheng3; Chen, Hongtian4 | |
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 | |
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. |
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