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Paper Abstract and Keywords
Presentation 2021-12-10 15:45
Study on Detection Method of the Level Crossing Rod Breakage using the Machine Learning
Hiroshi Shida (NESCO), Noriyuki Shiraishi (JR Shikoku), Hiroshi Takahashi (Ehime Univ) DC2021-62
Abstract (in Japanese) (See Japanese page) 
(in English) The level crossing is the only part, which public road intersects a railroad. The level crossing rod is an important equipment, which blocks the railroad and the public road at the time of approaching a train. And it keeps the security of passenger, automobile and train, which pass the crossing. However, the breakdown of the level crossing rod, which is an important equipment of level crossing gate, often occurs by the automobile that carelessness crosses the crossing at the time of approaching a train. The railway company repairs it each time. Furthermore, the abnormal detection depends on the report of passenger. So, it is a problem to tell the report to maintenance center immediately. On the other hand, we study on approach for the abnormal detection of railway signaling equipment by the machine learning. In this paper, we discuss a result of analysis about long-term monitoring data of crossing gate by the Hotelling's method (Mahalanobis distance). In addition to, we report a possibility of detection of the breakdown of the level crossing rod.
Keyword (in Japanese) (See Japanese page) 
(in English) Railway signaling / Level crossing / Level crossing gate / Level crossing rod breakage / Time series data / Anomaly detection / Mahalanobis distance /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 293, DC2021-62, pp. 38-43, Dec. 2021.
Paper # DC2021-62 
Date of Issue 2021-12-03 (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 2021-12-10 - 2021-12-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
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Paper Information
Registration To DC 
Conference Code 2021-12-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Detection Method of the Level Crossing Rod Breakage using the Machine Learning 
Sub Title (in English)  
Keyword(1) Railway signaling  
Keyword(2) Level crossing  
Keyword(3) Level crossing gate  
Keyword(4) Level crossing rod breakage  
Keyword(5) Time series data  
Keyword(6) Anomaly detection  
Keyword(7) Mahalanobis distance  
1st Author's Name Hiroshi Shida  
1st Author's Affiliation West Japan Electric System (NESCO)
2nd Author's Name Noriyuki Shiraishi  
2nd Author's Affiliation Shikoku Japan Railway Company (JR Shikoku)
3rd Author's Name Hiroshi Takahashi  
3rd Author's Affiliation Ehime Univ Graduate School (Ehime Univ)
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Speaker Author-1 
Date Time 2021-12-10 15:45:00 
Presentation Time 20 minutes 
Registration for DC 
Paper # DC2021-62 
Volume (vol) vol.121 
Number (no) no.293 
Page pp.38-43 
Date of Issue 2021-12-03 (DC) 

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