Online Condition Monitoring of a Rail Fastening System on High-Speed Railways Based on Wavelet Packet Analysis.
Online Condition Monitoring of a Rail Fastening System on High-Speed Railways Based on Wavelet Packet Analysis.
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DOI：
10.3390/s17020318
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发表时间：
2017-02-08
期刊：
影响因子：
--
通讯作者：
Zhou W
中科院分区：
文献类型：
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作者：
Wei J;Liu C;Ren T;Liu H;Zhou W
钢轨扣件系统是高速铁路轨道的重要组成部分。它对铁路车辆的运行安全性和舒适性至关重要。因此，钢轨扣件系统的状态检测是铁路维修中的一项重要工作。然而，基于视觉的方法不能识别钢轨扣件松动的严重程度。本文采用自动化遥感监测系统对钢轨扣件系统的状态进行监测。同时，采用小波包分析方法对加速度信号进行分析，并在此基础上建立了两个损伤指标，分别用于钢轨扣件损伤位置的定位和扣件松动严重程度的评估。为了验证该方法的有效性，在高速铁路实验平台上进行了实验。实验结果表明，该方法能够有效地评估钢轨扣件系统的状态。该监控系统大大缩短了巡检时间，提高了维修管理效率。
The rail fastening system is an important part of a high-speed railway track. It is always critical to the operational safety and comfort of railway vehicles. Therefore, the condition detection of the rail fastening system, looseness or absence, is an important task in railway maintenance. However, the vision-based method cannot identify the severity of rail fastener looseness. In this paper, the condition of rail fastening system is monitored based on an automatic and remote-sensing measurement system. Meanwhile, wavelet packet analysis is used to analyze the acceleration signals, based on which two damage indices are developed to locate the damage position and evaluate the severity of rail fasteners looseness, respectively. To verify the effectiveness of the proposed method, an experiment is performed on a high-speed railway experimental platform. The experimental results show that the proposed method is effective to assess the condition of the rail fastening system. The monitoring system significantly reduces the inspection time and increases the efficiency of maintenance management.