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基于自适应形态滤波和FSWT的轨道表面凹陷长度检测
作者单位:;1.南京理工大学机械工程学院;2.南京理工大学自动化学院
摘    要:为了对轨道表面凹陷长度进行检测,提出一种基于自适应形态滤波(Adaptive Morphological Filtering,AMF)和频率切片小波变换(Frequency Slice Wavelet Transform,FSWT)的轨道表面凹陷长度检测方法。首先,建立轮轨动力学模型,研究轴箱加速度频率与轨道不平顺频率之间的关系;其次,研究AMF和FSWT的基本原理,并对FSWT中切片函数进行改进,提高FSWT对不同信号的适应性;最后,对某地铁列车的轴箱实测信号进行分析,估算轨道表面凹陷长度。结果表明该方法具有工程可行性。

关 键 词:轨道不平顺  轨道凹陷  轴箱加速度  自适应形态滤波  FSWT

Detection of Track Surface Squat Length Based on AMF and FSWT
Institution:,College of Mechanical Engineering,Nanjing University of Science and Technology,College of Automation,Nanjing University of Science and Technology
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.
Keywords:Track irregularity  Track squats  Axle box acceleration  AMF  FSWT
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