Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
This book addresses the needs of researchers and practitioners in the field of high-speed trains, especially those whose work involves safety and reliability issues in traction systems. It will appeal to researchers and graduate students at institutions o
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Hongtian Chen Bin Jiang Ningyun Lu Wen Chen
Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
Lecture Notes in Intelligent Transportation and Infrastructure
The series “Lecture Notes in Intelligent Transportation and Infrastructure” (LNITI) publishes new developments and advances in the various areas of intelligent transportation and infrastructure. The intent is to cover the theory, applications, and perspectives on the state-of-the-art and future developments relevant to topics such as intelligent transportation systems, smart mobility, urban logistics, smart grids, critical infrastructure, smart architecture, smart citizens, intelligent governance, smart architecture and construction design, as well as green and sustainable urban structures. The series contains monographs, conference proceedings, edited volumes, lecture notes and textbooks. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable wide and rapid dissemination of high-quality research output.
More information about this series at http://www.springer.com/series/15991
Hongtian Chen Bin Jiang Ningyun Lu Wen Chen •
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Data-driven Detection and Diagnosis of Faults in Traction Systems of High-speed Trains
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Hongtian Chen College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing, China
Bin Jiang College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing, China
Ningyun Lu College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing, China
Wen Chen Division of Engineering Technology Wayne State University Detroit, USA
ISSN 2523-3440 ISSN 2523-3459 (electronic) Lecture Notes in Intelligent Transportation and Infrastructure ISBN 978-3-030-46262-8 ISBN 978-3-030-46263-5 (eBook) https://doi.org/10.1007/978-3-030-46263-5 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warrant
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