基于频率切片小波变换的轨道列车轮对振动信号分析
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摘要
为了提取轨道列车轮对振动特征信息,提出一种基于频率切片小波变换的故障特征提取方法。首先,利用频率切片小波变换获取振动信号在全频带的时频分布;然后,依据得到的振动信号能量分布特点选择时频目标区域;接着,分割出含有故障特征的时频区域;最后,通过逆变换对目标区域的信号分量进行重构,分离出有效的信号时频特征。仿真结果表明,利用频率切片小波变换分离轮对振动信号时频特征效果较好,为轨道列车轮对振动信号时频特征精确提取提供一种新的方法。
In order to extract the features of wheel-rail vibration,a novel fault diagnosis approach using time-frequency slice analysis is proposed.Firstly,wheel-rail vibration signal was transformed by frequency sliced wavelet transform(FSWT)to get the timefrequency characteristic figures of wheel-rail impact.Secondly,the time-frequency region was selected on the basis of the characteristic of the signal energy distribution.Thirdly,the chosen time-frequency region is further refining analyzed to highlight the hidden time-frequency characteristics.Finally,the time-frequency region which contains fault feature is separated.Through inverse FSWT transformation,the signal component was reconstructed to separate the time-frequency characteristics of effective signals.The effectiveness of this approach has been proved through the dynamics simulation data,gives a new and efficient method to extracting the features of wheelrail vibration.
In order to extract the features of wheel-rail vibration,a novel fault diagnosis approach using time-frequency slice analysis is proposed.Firstly,wheel-rail vibration signal was transformed by frequency sliced wavelet transform(FSWT)to get the timefrequency characteristic figures of wheel-rail impact.Secondly,the time-frequency region was selected on the basis of the characteristic of the signal energy distribution.Thirdly,the chosen time-frequency region is further refining analyzed to highlight the hidden time-frequency characteristics.Finally,the time-frequency region which contains fault feature is separated.Through inverse FSWT transformation,the signal component was reconstructed to separate the time-frequency characteristics of effective signals.The effectiveness of this approach has been proved through the dynamics simulation data,gives a new and efficient method to extracting the features of wheelrail vibration.
引文
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[14]孔光.既有线提速路涵过渡段刚度平稳过渡研究[D].北京:北京交通大学,2007.
[2]孙延奎.小波分析及其应用[M].China-Pub,2005.
[3]唐向宏,李齐良.时频分析与小波变换[M].北京:科学出版社,2008.:81-117.
[4]Yan Z,Miyamoto A,Jiang Z.Frequency slice wavelet transform for transient vibration response analysis[J].Mechanical system and signal processing,2009,23(5):1474-1489.
[5]段晨东,高强.基于频率切片小波变换的结构健康状态分析[C]∥第十二届全国设备故障诊断学术会议论文集.2010.
[6]邴萍萍,曹思远,路交通.频率切片小波变换地震资料时频分析新技术[C].∥国际地球物理会议论文集,SPG/SEG,2011.
[7]Shenoi B A.Introduction to digital signal processing and filter design[M].John Wiley&Sons,2004.
[8]Yan Z,Miyamoto A,Jiang Z.Frequency slice algorithm for modal signal separation and damping identification[J].Computers&structures,2011,89(1):14-26.
[9]翟婉明.车辆—轨道耦合动力学(第二版)[M].北京:中国铁道出版社.2002.
[10]徐志胜,翟婉明.轮轨冲击噪声激扰模型研究[J].噪声与振动控制,2007,27(4):86-88.
[11]马卫华.轮对纵向振动及其相关动力学影响研究[D].成都,西南交通大学.2007.
[12]左玉云.铁路轨道不平顺对车轨系统竖向振动响应的影响分析[D].长沙:中南大学,2007.
[13]孔旭光.列车—轨道—路基系统竖向振动分析[D].长沙:中南大学,2010.
[14]孔光.既有线提速路涵过渡段刚度平稳过渡研究[D].北京:北京交通大学,2007.
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