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Wayside Railway Switch and Crossing Monitoring Using Isolation Forest Anomaly Scores

Author

Listed:
  • Yang Zuo

    (Division of Operation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, Sweden)

  • Praneeth Chandran

    (Division of Operation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, Sweden)

  • Johan Odelius

    (Division of Operation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, Sweden)

  • Matti Rantatalo

    (Division of Operation and Maintenance Engineering, Luleå University of Technology, 97187 Luleå, Sweden)

Abstract

Railway switch and crossing (S&C) systems have complicated moving structures compared with regular rail. They require multiple components that vary in complexity. The complexity of railway S&C, together with the fact that they are discontinuous points of the system, makes them vulnerable to defects such as squats. A squat on the switching rail could potentially cause rail breakage and lead to catastrophic results, such as derailment. In this study, a method based on anomaly scoring was investigated to estimate the status of an S&C system with respect to squat defects. The proposed method was tested in a real environment under controlled measurement sequences. The results show that the methods can differ between an S&C with squats and another one without them.

Suggested Citation

  • Yang Zuo & Praneeth Chandran & Johan Odelius & Matti Rantatalo, 2023. "Wayside Railway Switch and Crossing Monitoring Using Isolation Forest Anomaly Scores," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14836-:d:1258916
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    References listed on IDEAS

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    1. Dave Donaldson, 2018. "Railroads of the Raj: Estimating the Impact of Transportation Infrastructure," American Economic Review, American Economic Association, vol. 108(4-5), pages 899-934, April.
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