Automatic Inspection Based on Switch Sounds of Electric Point Machines
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912557905739776 |
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| author | Shibata, Ayano Gunji, Toshiki Tsuda, Mitsuaki Endo, Takashi Dohi, Kota Nishida, Tomoya Nomoto, Satoko |
| author_facet | Shibata, Ayano Gunji, Toshiki Tsuda, Mitsuaki Endo, Takashi Dohi, Kota Nishida, Tomoya Nomoto, Satoko |
| contents | Since 2018, East Japan Railway Company and Hitachi, Ltd. have been working to replace human inspections with IoT-based monitoring. The purpose is Labor-saving required for equipment inspections and provide appropriate preventive maintenance. As an alternative to visual inspection, it has been difficult to substitute electrical characteristic monitoring, and the introduction of new high-performance sensors has been costly. In 2019, we implemented cameras and microphones in an ``NS'' electric point machines to reduce downtime from equipment failures, allowing for remote monitoring of lock-piece conditions. This method for detecting turnout switching errors based on sound information was proposed, and the expected test results were obtained. The proposed method will make it possible to detect equipment failures in real time, thereby reducing the need for visual inspections. This paper presents the results of our technical studies aimed at automating the inspection of electronic point machines using sound, specifically focusing on ``switch sound'' beginning in 2019. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_20870 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Automatic Inspection Based on Switch Sounds of Electric Point Machines Shibata, Ayano Gunji, Toshiki Tsuda, Mitsuaki Endo, Takashi Dohi, Kota Nishida, Tomoya Nomoto, Satoko Audio and Speech Processing Machine Learning Sound Since 2018, East Japan Railway Company and Hitachi, Ltd. have been working to replace human inspections with IoT-based monitoring. The purpose is Labor-saving required for equipment inspections and provide appropriate preventive maintenance. As an alternative to visual inspection, it has been difficult to substitute electrical characteristic monitoring, and the introduction of new high-performance sensors has been costly. In 2019, we implemented cameras and microphones in an ``NS'' electric point machines to reduce downtime from equipment failures, allowing for remote monitoring of lock-piece conditions. This method for detecting turnout switching errors based on sound information was proposed, and the expected test results were obtained. The proposed method will make it possible to detect equipment failures in real time, thereby reducing the need for visual inspections. This paper presents the results of our technical studies aimed at automating the inspection of electronic point machines using sound, specifically focusing on ``switch sound'' beginning in 2019. |
| title | Automatic Inspection Based on Switch Sounds of Electric Point Machines |
| topic | Audio and Speech Processing Machine Learning Sound |
| url | https://arxiv.org/abs/2508.20870 |