Journal article
Crossing-Gate Rod Breakage Detection in a Railway Telemeter System Using Machine Learning
IEEJ transactions on electrical and electronic engineering, Vol.18(1), pp.156-158
01/2023
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Abstract
Shikoku Railway Company (JR Shikoku) has installed a telemeter system whose network spreads across all the railway lines in the Shikoku area. The telemeter system monitors and collects real-time data, e.g. current, voltage, and relay signals of railway equipment. We propose a method of detecting the breakage of a crossing-gate rod based on big data using representative machine-learning techniques, namely, random forest and support vector machine. Moreover, we evaluate the proposed method for rod breakage cases at seven locations and demonstrate its effectiveness and versatility.
Details
- Title
- Crossing-Gate Rod Breakage Detection in a Railway Telemeter System Using Machine Learning
- Creators
- Tomoaki Kashiwao - Kindai UniversityHiroya Tanoue - Kindai UniversityNoriyuki Shiraishi - SRCJYuki Misaki - SRCJTakashi Ando - SRCJKenji Ikeda - Tokushima UniversityDaisuke Tanaka - National Institute of Technology, Niihama College
- Publication Details
- IEEJ transactions on electrical and electronic engineering, Vol.18(1), pp.156-158
- Publisher
- Wiley Periodicals LLC
- Number of pages
- 3
- Identifiers
- 991013304603602368
- Copyright
- © 2022 Institute of Electrical Engineers of Japan.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article