基于频率切片小波变换的轨道列车轮对振动信号分析  

Analysis of Wheel-rail Vibration Signal Based on Frequency Sliced Wavelet Transform

作　　者：庞学苗[1] 李建伟 邢宗义[3] 陈岳剑[3] 

机构地区：[1]唐山轨道客车有限责任公司,河北唐山063035 [2]南京康尼电子科技有限公司,江苏南京210000 [3]南京理工大学自动化学院,江苏南京210094

出　　处：《铁道机车车辆》2015年第B05期26-31,共6页Railway Locomotive & Car

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。Abstract.. In order to extract the features of wheel-rail vibration, a novel fault diagnosis approach using time-frequency slice a- nalysis is proposed. Firstly, wheel-rail vibration signal was transformed by frequency sliced wavelet transform （FSWT） to get the time- frequency 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-fre- quency characteristics. Finally, the time-frequency region which contains fault feature is separated. Through inverse FSWT transforma- tion, 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 wheel- rail vibration.

关 键 词：频率切片小波变换 时频特征 车轮振动 特征提取 

分 类 号：U211.5[交通运输工程—道路与铁道工程]