Wei Jiahong, Liu Chong, Ren Tongqun, Liu Haixia, Zhou Wenjing
Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian 116024, China.
Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel). 2017 Feb 8;17(2):318. doi: 10.3390/s17020318.
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.
轨道扣件系统是高速铁路轨道的重要组成部分。它对于铁路车辆的运行安全和舒适性始终至关重要。因此，轨道扣件系统的状态检测，即松动或缺失情况，是铁路维护中的一项重要任务。然而，基于视觉的方法无法识别轨道扣件松动的严重程度。本文基于自动遥感测量系统对轨道扣件系统的状态进行监测。同时，利用小波包分析对加速度信号进行分析，并在此基础上开发了两个损伤指标，分别用于定位损伤位置和评估轨道扣件松动的严重程度。为验证所提方法的有效性，在高速铁路试验平台上进行了实验。实验结果表明，所提方法对于评估轨道扣件系统的状态是有效的。该监测系统显著减少了检查时间，提高了维护管理效率。
