Failure Analysis of Metro Door System Based on Fuzzy TOPSIS
Door system is a key subsystem of metro train, and conducting failure analysis to determine the failure modes which have great criticality on door system can be helpful for improving door reliability and perfecting maintenance decision. There being ambigu
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Wuhong Wang Klaus Bengler Xiaobei Jiang Editors
Green Intelligent Transportation Systems Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety
Lecture Notes in Electrical Engineering Volume 419
Board of Series editors Leopoldo Angrisani, Napoli, Italy Marco Arteaga, Coyoacán, México Samarjit Chakraborty, München, Germany Jiming Chen, Hangzhou, P.R. China Tan Kay Chen, Singapore, Singapore Rüdiger Dillmann, Karlsruhe, Germany Haibin Duan, Beijing, China Gianluigi Ferrari, Parma, Italy Manuel Ferre, Madrid, Spain Sandra Hirche, München, Germany Faryar Jabbari, Irvine, USA Janusz Kacprzyk, Warsaw, Poland Alaa Khamis, New Cairo City, Egypt Torsten Kroeger, Stanford, USA Tan Cher Ming, Singapore, Singapore Wolfgang Minker, Ulm, Germany Pradeep Misra, Dayton, USA Sebastian Möller, Berlin, Germany Subhas Mukhopadyay, Palmerston, New Zealand Cun-Zheng Ning, Tempe, USA Toyoaki Nishida, Sakyo-ku, Japan Bijaya Ketan Panigrahi, New Delhi, India Federica Pascucci, Roma, Italy Tariq Samad, Minneapolis, USA Gan Woon Seng, Nanyang Avenue, Singapore Germano Veiga, Porto, Portugal Haitao Wu, Beijing, China Junjie James Zhang, Charlotte, USA
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Wuhong Wang Klaus Bengler Xiaobei Jiang •
Editors
Green Intelligent Transportation Systems Proceedings of the 7th International Conference on Green Intelligent Transportation System and Safety
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Editors Wuhong Wang Beijing Institute of Technology Beijing China Klaus Bengler Technical University of Munich Munich Germany
Xiaobei Jiang Beijing Institute of Technology Beijing China and Technical University of Munich Munich Germany
ISSN 1876-1100 ISSN 1876-1119 (electronic) Lecture Notes in Electrical Engineering ISBN 978-981-10-3550-0 ISBN 978-981-10-3551-7 (eBook) DOI 10.1007/978-981-10-3551-7 Library of Congress Control Number: 2017936650 © Springer Science+B
