Presentation | 2018-12-14 Prosal of Practical Method of track condition monitoring compact device using machine learning Shohei Wakai, Tetsuya Takata, Takeshi Mizuma, Hitoshi Tsunashima, Akira Matsumoto, Yuichi Hayashida, Ryota Hirose, |
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PDF Download Page | ![]() |
Abstract(in Japanese) | (See Japanese page) |
Abstract(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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Railway / Condition monitoring / Machine learning / Big data analysis / Track / Maintenance |
Paper # | DC2018-62 |
Date of Issue | 2018-12-07 (DC) |
Conference Information | |
Committee | DC |
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Conference Date | 2018/12/14(1days) |
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 |
Chair | Satoshi Fukumoto(Tokyo Metropolitan Univ.) |
Vice Chair | Hiroshi Takahashi(Ehime Univ.) |
Secretary | Hiroshi Takahashi(Tokyo Inst. of Tech.) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Dependable Computing |
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Language | JPN |
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 |
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.) |
Date | 2018-12-14 |
Paper # | DC2018-62 |
Volume (vol) | vol.118 |
Number (no) | DC-364 |
Page | pp.pp.25-28(DC), |
#Pages | 4 |
Date of Issue | 2018-12-07 (DC) |