铁道标准设计2016，Vol.60Issue(12)：17-21,5.DOI:10.13238/j.issn.1004-2954.2016.12.005
基于自适应形态滤波和FSWT的轨道表面凹陷长度检测
Detection of Track Surface Squat Length Based on AMF and FSWT
摘要
Abstract
A method based on Adaptive Morphological Filtering ( AMF ) and Frequency Slice Wavelet Transform ( FSWT) is proposed to detect the length of track surface squats. Firstly, the dynamic model of wheel/rail is established to identify the relation between the frequency of axle box acceleration and that of track irregularity. Secondly, the basic principles of AMF and FSWT are introduced, and the slice function in FSWT is improved to advance the adaptability of FSWT to different signals. Finally, the measured axle box signals from a subway train are analyzed to estimate the length of squats. The results show that the method is of engineering feasibility.关键词
轨道不平顺/轨道凹陷/轴箱加速度/自适应形态滤波/FSWTKey words
Track irregularity/Track squats/Axle box acceleration/AMF/FSWT分类
交通工程引用本文复制引用
蒋杰,高旭东,王夫歌,邢宗义..基于自适应形态滤波和FSWT的轨道表面凹陷长度检测[J].铁道标准设计,2016,60(12):17-21,5.基金项目
国家重点研发计划项目(2016YFB1200402) （2016YFB1200402）
