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| Paper Abstract and Keywords | ||
| Presentation | 2018-12-14 14:25 Prosal of Practical Method of track condition monitoring compact device using machine learning Shohei Wakai, Tetsuya Takata (Kyosan Electric Manufacturing), Takeshi Mizuma (Tokyo Univ.), Hitoshi Tsunashima, Akira Matsumoto, Yuichi Hayashida, Ryota Hirose (Nihon Univ.)  DC2018-62 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In local railway, there are few railway operators who chan conduct sufficient inspection of track condition due to cost etc. In response to this problem, track condition monitoring compact device by simple method was developed to local railway. There is a possibility to utilize measurement data by using machine learning. In this research, we propose practical method of track condition monitoring compact device using machine learning. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Railway / Condition monitoring / Machine learning / Big data analysis / Track / Maintenance / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 364, DC2018-62, pp. 25-28, Dec. 2018. | |
| Paper # | DC2018-62 | |
| Date of Issue | 2018-12-07 (DC) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
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) | |
| Download PDF | DC2018-62 |
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| Conference Information | |
| Committee | DC |
| Conference Date | 2018-12-14 - 2018-12-14 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Miyako Seisyonen-No-Ie |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | 3rd Winter Workshop on safety |
| Paper Information | |
| Registration To | DC |
| Conference Code | 2018-12-DC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Prosal of Practical Method of track condition monitoring compact device using machine learning |
| Sub Title (in English) | |
| Keyword(1) | Railway |
| Keyword(2) | Condition monitoring |
| Keyword(3) | Machine learning |
| Keyword(4) | Big data analysis |
| Keyword(5) | Track |
| Keyword(6) | Maintenance |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Shohei Wakai |
| 1st Author's Affiliation | Kyosan Electric Manufacturing Co.,Ltd. (Kyosan Electric Manufacturing) |
| 2nd Author's Name | Tetsuya Takata |
| 2nd Author's Affiliation | Kyosan Electric Manufacturing Co.,Ltd. (Kyosan Electric Manufacturing) |
| 3rd Author's Name | Takeshi Mizuma |
| 3rd Author's Affiliation | Tokyo University (Tokyo Univ.) |
| 4th Author's Name | Hitoshi Tsunashima |
| 4th Author's Affiliation | Nihon University (Nihon Univ.) |
| 5th Author's Name | Akira Matsumoto |
| 5th Author's Affiliation | Nihon University (Nihon Univ.) |
| 6th Author's Name | Yuichi Hayashida |
| 6th Author's Affiliation | Nihon University (Nihon Univ.) |
| 7th Author's Name | Ryota Hirose |
| 7th Author's Affiliation | Nihon University (Nihon Univ.) |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2018-12-14 14:25:00 |
| Presentation Time | 20 minutes |
| Registration for | DC |
| Paper # | DC2018-62 |
| Volume (vol) | vol.118 |
| Number (no) | no.364 |
| Page | pp.25-28 |
| #Pages | 4 |
| Date of Issue | 2018-12-07 (DC) |
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