Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways

Zhigang Liu (IEEE Fellow, IET Fellow, AAIA Fellow) received the Ph.D. degree in Power system and its Automation from Southwest Jiaotong University, China in 2003. He is currently a Full Professor of the School of Electrical Engineering, Southwest Jiaotong University, Chengdu. He is also a Guest Professor of Tongji University. Shanghai. He has authored three books and published more than 200 peer-reviewed journal and conference articles. His research interests include the electrical relationship of EMUs and traction, detection, and assessment of pantograph-catenary in high-speed railway. Dr. Liu is an Associate Editor-in-Chief of IEEE Transactions on Instrumentation and Measurement, Associate Editor of IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology and IEEE Access. He received the IEEE TIM's Outstanding Associate Editors for 2019, 2020 and 2021, and the Outstanding Reviewer of IEEE Transactions on Instrumentation and Measurement in 2018.
Wenqiang Liu (IEEE Member) received his Ph.D. degree in electrical engineering from the School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China, in 2021. From 2017 to 2019, he was a joint Ph.D. in the Department of Engineering Structures, Delft University of Technology, Delft, the Netherlands. He is currently a postdoc researcher in the Department of National Rail Transit Electrification and Automation Engineering Technology Research Center, the Hong Kong Polytechnic University, Hong Kong, China. His research interests include artificial intelligence, computer vision, imaging, signal processing, and their applications in fault diagnosis and maintenance of railway infrastructures. Dr. Liu is an associate editor of IEEE Transactions on Instrumentation and Measurement (IEEE TIM). He received the IEEE TIM's Outstanding Editor in 2022 and the Outstanding Reviewer in 2021.

Junping Zhong (IEEE Member) received his Ph.D. degree in electrical engineering from Southwest Jiaotong University, Chengdu, China, in 2022. From Oct 2019 to Oct 2020, he is a Ph.D student visitor in the Department of Railway Engineering, Delft University of Technology, Netherlands. From Feb 2023, he is a Postdoctoral Fellow in the Department of Industrial and Systems Engineering, Hong Kong Polytechnic University. His research interests include image processing, signal processing, and their applications in railway infrastructure fault detection. He has published 11 SCI/EI journal papers and 4 conference papers. He severs as a reviewer for IEEE TITS, IEEE TIM, and Applied Soft Computing. He was selected as the Outstanding Reviewer of IEEE Transactions on Instrumentation and Measurement in 2021.

劉志剛（IEEE院士，IET院士，AAIA院士）於2003年在中國西南交通大學獲得電力系統及其自動化博士學位。他目前是中國西南交通大學電氣工程學院的教授，也是同濟大學上海校區的客座教授。他撰寫了三本書籍，並發表了200多篇同行評審的期刊和會議論文。他的研究興趣包括高速鐵路中EMU和牽引系統的電氣關係，以及受電弓-接觸網的檢測和評估。劉博士是IEEE儀器與測量學會的副主編，也是IEEE神經網絡與學習系統學會、IEEE智能交通系統學會、IEEE車輛技術學會和IEEE Access的副編輯。他分別於2019年、2020年和2021年獲得IEEE TIM傑出副主編稱號，以及2018年IEEE儀器與測量學會傑出評審稱號。

劉文強（IEEE會員）於2021年在中國西南交通大學電氣工程學院獲得電氣工程博士學位。2017年至2019年期間，他在荷蘭代爾夫特理工大學工程結構系攻讀聯合博士學位。他目前是香港理工大學國家軌道交通電氣化與自動化工程技術研究中心的博士後研究員。他的研究興趣包括人工智能、計算機視覺、影像處理、信號處理以及它們在鐵路基礎設施故障診斷和維護中的應用。劉博士是IEEE儀器與測量學會的副編輯，並於2022年獲得IEEE TIM傑出編輯和2021年傑出評審稱號。

鍾俊平（IEEE會員）於2022年在中國西南交通大學獲得電氣工程博士學位。2019年10月至2020年10月期間，他在荷蘭代爾夫特理工大學鐵路工程系作為博士生訪問學者。從2023年2月起，他成為香港理工大學工業與系統工程系的博士後研究員。他的研究興趣包括影像處理、信號處理以及它們在鐵路基礎設施故障檢測中的應用。他發表了11篇SCI/EI期刊論文和4篇會議論文。他是IEEE TITS、IEEE TIM和Applied Soft Computing的審稿人，並於2021年獲選為IEEE儀器與測量學會傑出評審稱號。