Dynamic inner independent component analysis-based incipient fault detection for electric drive systems of high-speed trains-Reference-Cited by-同舟云学术

Dynamic inner independent component analysis-based incipient fault detection for electric drive systems of high-speed trains

Published:2023-05-23 Issue: Volume: Page:1-11
ISSN:2330-7706
Container-title:Journal of Control and Decision
language:en
Short-container-title:Journal of Control and Decision

Author:

Wang Hongmei¹,Wang Jingkun¹,Xu Shuiqing²,Cheng Chao¹,Liu Qiang³,Chen Hongtian⁴

Affiliation:

1. College of Computer Science and Engineering, Changchun University of Technology, Changchun, People's Republic of China

2. College of Electrical Engineering and Automation, Hefei University of Technology, Hefei, People's Republic of China

3. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, People's Republic of China

4. Department of Automation, Shanghai Jiao Tong University, Shanghai, People's Republic of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Control and Optimization,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Signal Processing,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/23307706.2023.2198260

Reference21 articles.

1. Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system

2. Air-writing via Receiver Array Based Ultrasonic Source Localization

3. Edge Computing-Aided Framework of Fault Detection for Traction Control Systems in High-Speed Trains

4. Data-Driven Fault Diagnosis for Traction Systems in High-Speed Trains: A Survey, Challenges, and Perspectives

5. Real-time incipient fault detection for electrical traction systems of CRH2