Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM*

doi:10.23919/CJEE.2022.000019

Chinese Journal of Electrical Engineering ›› 2022, Vol. 8 ›› Issue (2): 108-120.doi: 10.23919/CJEE.2022.000019

• Regular Papers • Previous Articles

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Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM^*

Zhenglong Zhou^*, Yang Cheng, Shenggang Lv, Kai Chen, Weijing Du

School of Power Technology, Liuzhou Railway Vocational Technical College, Liuzhou 545616, China

Received:2021-04-20 Revised:2021-07-25 Accepted:2021-09-28 Online:2022-06-25 Published:2022-07-08
Contact: * E-mail: zzl_101@126.com
About author:Zhenglong Zhou received his B.E. and M.E. degrees in Electrical Engineering from Lanzhou Jiaotong University, Lanzhou, China. He is currently working in School of Power Technology, Liuzhou Railway Vocational Technical College, China. His current research interests include urban rail vehicle health management, reliability of power supply equipment and railway electrification.
Yang Cheng received his B.E. degree in Electrical Engineering from Henan Polytechnic University, Jiaozuo, China, and M.E. degree in Control Theory and Control Engineering from Guangxi University of Science and Technology, Liuzhou China. He is currently working in School of Power Technology, Liuzhou Railway Vocational Technical College, China. His current research interests include smart grid and railway electrification.
Shenggang Lv received his B.E. degree in Automation from Guangxi University, Nanning, China. He is currently working in School of Power Technology, Liuzhou Railway Vocational Technical College, China. His current research interests include substation and distribution equipment, safety production regulations and power supply system maintenance.
Kai Chen received his B.E. and M.E. degrees in Electrical Engineering from Lanzhou Jiaotong University, Lanzhou, China. He is currently working in School of Power Technology, Liuzhou Railway Vocational Technical College, China. His current research interests include electrical instrument safety, power line equipment and railway electrification.
Weijing Du received his B.E. and M.E. degrees in Electrical Engineering from Lanzhou Jiaotong University, Lanzhou, China. He is currently working in School of Power Technology, Liuzhou Railway Vocational Technical College, China. His current research interests include high-voltage equipment safety, electrical signal processing and railway electrification.

Abstract

Abstract: A health status assessment method based on cross entropy and support vector machine (SVM) is proposed for the new urban rail vehicle traction systems. First, an index system for health assessment of the traction system is established, and combined weights of the index layer are obtained via cross entropy. Then, an SVM assessment model considering actual operating data and each status level of the traction system is established. Finally, the model is simulated in Matlab to obtain assessment results. The results indicate that the proposed method can provide the health status information of the traction system intuitively and complete the health status assessment of the traction system of the new urban rail vehicle effectively, by exploiting the traction system's layered analysis model. The health status can be assessed accurately and reliably by adopting the cross entropy theory and SVM theory.

Key words: New urban rail vehicle, traction system, cross entropy, SVM, health status assessment

Zhenglong Zhou, Yang Cheng, Shenggang Lv, Kai Chen, Weijing Du. Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM^*[J]. Chinese Journal of Electrical Engineering, 2022, 8(2): 108-120.

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Health Status Assessment for New Urban Rail Vehicle Traction Systems Based on Cross Entropy and SVM^*

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