个人信息Personal Information
副教授
博士生导师
硕士生导师
性别:男
毕业院校:天津大学
学位:博士
所在单位:机械工程学院
学科:测试计量技术及仪器. 精密仪器及机械
办公地点:机械知方楼6128
联系方式:0411-84707713
电子邮箱:ren_tq@dlut.edu.cn
Online Condition Monitoring of a Rail Fastening System on High-Speed Railways Based on Wavelet Packet Analysis
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论文类型:期刊论文
发表时间:2017-02-01
发表刊物:SENSORS
收录刊物:SCIE、EI、PubMed
卷号:17
期号:2
ISSN号:1424-8220
关键字:rail fastening system; on-line monitoring; wavelet packet analysis; fasteners looseness
摘要: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.