| Presentation | 2019-12-20 Study on Condition-Based Maintenance of Railway Signal Equipment using the Machine Learning Hiroshi Shida, Akihiro Tamura, Takashi Ninomiya, Hiroshi Takahashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Railway signaling / Condition based maintenance / Mahalanobis distance / Neural network / Railway signaling equipment / Track circuit / Electric point machine |
| Paper # | DC2019-83 |
| Date of Issue | 2019-12-13 (DC) |
| Conference Information | |
| Committee | DC |
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| Conference Date | 2019/12/20(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Satoshi Fukumoto(Tokyo Metropolitan Univ.) |
| Vice Chair | Hiroshi Takahashi(Ehime Univ.) |
| Secretary | Hiroshi Takahashi(Nihon Univ.) |
| 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) | 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) |
| Date | 2019-12-20 |
| Paper # | DC2019-83 |
| Volume (vol) | vol.119 |
| Number (no) | DC-351 |
| Page | pp.pp.25-30(DC), |
| #Pages | 6 |
| Date of Issue | 2019-12-13 (DC) |