Journal article
Real-Time Crossing-Gate Rod Breakage Detection Based on Sequential-Dataset Classification for the Railway-Telemeter System
IEEJ transactions on electrical and electronic engineering, Vol.18(7), pp.1211-1213
07/2023
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Abstract
In our previous studies, we proposed crossing-gate rod breakage detection methods based on machine learning techniques for the telemeter system installed by the Shikoku Railway Company (JR Shikoku) on railway lines in the Shikoku area to collect real-time equipment data. However, these methods involve batch processing of many training data over several days, making them unsuitable for real-time detection because of the long computation time. Therefore, this study improves these methods by performing sequential processing for real-time detection for installation in the railway field. A one-class support vector machine-based detection method was applied to sequential processing to perform detection at each sampling period every few seconds. The proposed method is evaluated and its effectiveness is demonstrated in two representative cases of crossing-gate rod breakage.
Details
- Title
- Real-Time Crossing-Gate Rod Breakage Detection Based on Sequential-Dataset Classification for the Railway-Telemeter System
- Creators
- Tomoaki Kashiwao - Kindai UniversityKota Kawakami - Kindai UniversityTakeshi Ikoma - Shikoku Railway Company (Japan)Kazuhiko Takagi - SRCJDaisuke Tanaka - National Institute of Technology, Niihama CollegeKenji Ikeda - Tokushima University
- Publication Details
- IEEJ transactions on electrical and electronic engineering, Vol.18(7), pp.1211-1213
- Publisher
- Wiley
- Number of pages
- 3
- Identifiers
- 991013304603702368
- Copyright
- © 2023 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English; Japanese
- Resource Type
- Journal article