摘要
为了有效检测轨道波磨故障,提出一种基于参数优化变分模态分解(VMD,VariableMode Decomposition)和平滑伪维格纳分布(SPWVD,SmoothPseudo Wigner VilleDistribution)的轨道波磨辨识方法。采用变步长最小均方(VSSLMS,Variable Step Size Least Mean Square)算法对列车轴箱振动加速度原始信号滤波;对滤波后的信号进行变分模态分解,将分解信号包络熵作为轨道波磨辨识的指标;采用平滑伪维格纳分布对分解后的信号进行时频分析,确定波磨发生的位置及波长;通过仿真信号与实例验证方法的有效性。验证结果表明,该方法可提高轨道波磨辨识的准确性,辅助轨道维修和养护。
In order to detect the rail corrugation fault effectively,this paper proposed a method of rail corrugation identi fication based on parameter optimization Variational Mode Decomposition(VMD)and Smooth Pseudo Wigner Ville Distribution(SPWVD).The paper used the VSSLMS(Variable Step Size Least Mean Square)algorithm to filter the original acceleration signal of train axle box vibration,decomposed the filtered signal into variational mode,took the envelope entropy of the decomposed signal as the index of the identi fication of the rail corrugation,used the SPWVD to carry out the time-frequency analysis of decomposed signal,and determine the location and wavelength of the corrugation.The effectiveness of the method was veri fied by simulation signals and examples.The results show that the method can be used to improve the accuracy of rail corrugation identi fication and assist rail maintenance.
作者
张海强
王楠
刘松
李柄奎
ZHANG Haiqiang;WANG Nan;LIU Song;LI Bingkui(Operation Headquarters,Guangzhou Metro Group Co.Ltd.,Guangzhou 510335,China;School of Automation,Nanjing University of Science&Technology,Nanjing 210094,China;Yangzhou Branch,China Mobile Jiangsu Company,Yangzhou 225000,China)
出处
《铁路计算机应用》
2020年第6期18-24,共7页
Railway Computer Application
基金
国家重点研发计划项目(2017YFB1201202)。
