This paper introduces a method for forecasting the arrival of trains by analyzing track vibration signals. The proposed algorithms, based on H‐ranks of track vibration signals, can generate early alerts for approaching trains. These algorithms are robust to additive noise and environmental conditions. The theoretical foundation of the method involves the application of matrix operations to detect significant changes in vibration patterns, indicating an approaching train.

中文翻译：

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基于轨道振动信号H阶的接近列车预测


本文介绍了一种通过分析轨道振动信号来预测列车到站的方法。所提出的算法基于轨道振动信号的 H 等级，可以为接近的火车生成早期警报。这些算法对于附加噪声和环境条件具有鲁棒性。该方法的理论基础涉及应用矩阵运算来检测振动模式的显着变化，以表明火车正在接近。