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Squats are punctual material failures at railway tracks which can lead to critical effects when not detected or removed in time. This paper proposes a statistical modelling approach to describe the relation between risk of squat occurrence and potential root causes, such as track characteristics, traffic patterns and load data, considering multi-collinearity and rare events. Data from the Swiss railway were used to develop models for track health monitoring.

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Statistical Models for Health Monitoring of Rare Events in Railway Tracks

  • 会议论文

  • 发表日期：

    2025年

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  • Nikolaus Haselgruber,
  • Ingolf Nerlich

摘要

Squats are punctual material failures at railway tracks which can lead to critical effects when not detected or removed in time. This paper proposes a statistical modelling approach to describe the relation between risk of squat occurrence and potential root causes, such as track characteristics, traffic patterns and load data, considering multi-collinearity and rare events. Data from the Swiss railway were used to develop models for track health monitoring.