Health Assessment of Turnout System Based on Mahalanobis Distance

Zhenwei Zhou, Tong Li, Tao Liu, Kaiwei Wang, Yun Huang, Linlin Shi
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Abstract

This paper presents a health evaluation of S700K turnout system based on Mahalanobis distance. The main implementation steps of this method consist of obtaining a time-domain statistical index data matrix of the normal-state turnout system, performing principal component analysis on the time-domain statistical index data matrix, establishing baseline Mahalanobis distance for the turnout system normal, determining the health threshold for the safe operation, evaluating the turnout system in an unknown health state. If the Mahalanobis distance of health assessment threshold is greater than the threshold, then it is suggested that condition-based maintenance be taken. An experiment case is demonstrated to verify the efficiency of the proposed method.
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基于马氏距离的道岔系统健康评价
提出了一种基于马氏距离的S700K道岔系统健康评价方法。该方法的主要实现步骤为:获取正常状态下道岔系统的时域统计指标数据矩阵,对时域统计指标数据矩阵进行主成分分析,建立道岔系统正常的基线马氏距离,确定安全运行的健康阈值,评估未知健康状态下的道岔系统。如果健康评估阈值的马氏距离大于阈值,则建议采取状态维修。通过实验验证了该方法的有效性。
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