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Paper Abstract and Keywords
Presentation 2019-12-20 15:40
Study on Condition-Based Maintenance of Railway Signal Equipment using the Machine Learning
Hiroshi Shida (JR West), Akihiro Tamura, Takashi Ninomiya, Hiroshi Takahashi (Ehime Univ) DC2019-83
Abstract (in Japanese) (See Japanese page) 
(in English) Dependable systems are required high safety and reliability. Recently, condition-based maintenance(CBM) is expected to maintain high reliability. We think that "the data measurement, collection, the analysis" are necessary factors for realization of CBM. And we think that the problems of the data measurement and collection are solved by the progress of the Iot technology. In this paper, we focus that the method of analysis for realization of CBM. We have analyzed the maintenance data of railway signaling equipment in machine learning. And we show an example of the consideration for maintenance timing.
Keyword (in Japanese) (See Japanese page) 
(in English) Railway signaling / Condition based maintenance / Mahalanobis distance / Neural network / Railway signaling equipment / Track circuit / Electric point machine /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 351, DC2019-83, pp. 25-30, Dec. 2019.
Paper # DC2019-83 
Date of Issue 2019-12-13 (DC) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee DC  
Conference Date 2019-12-20 - 2019-12-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To DC 
Conference Code 2019-12-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Condition-Based Maintenance of Railway Signal Equipment using the Machine Learning 
Sub Title (in English)  
Keyword(1) Railway signaling  
Keyword(2) Condition based maintenance  
Keyword(3) Mahalanobis distance  
Keyword(4) Neural network  
Keyword(5) Railway signaling equipment  
Keyword(6) Track circuit  
Keyword(7) Electric point machine  
1st Author's Name Hiroshi Shida  
1st Author's Affiliation West Japan Railway Company (JR West)
2nd Author's Name Akihiro Tamura  
2nd Author's Affiliation Ehime University (Ehime Univ)
3rd Author's Name Takashi Ninomiya  
3rd Author's Affiliation Ehime University (Ehime Univ)
4th Author's Name Hiroshi Takahashi  
4th Author's Affiliation Ehime University (Ehime Univ)
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Speaker Author-1 
Date Time 2019-12-20 15:40:00 
Presentation Time 25 minutes 
Registration for DC 
Paper # DC2019-83 
Volume (vol) vol.119 
Number (no) no.351 
Page pp.25-30 
Date of Issue 2019-12-13 (DC) 

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