LabVIEW小波变换在轮轨力应变信号处理中的应用  

Application of Wavelet Transform of LabVIEW in Processing Wheel-Rail Strain Signal

作　　者：赖建飞 雷晓燕[1] 刘庆杰[1] 

机构地区：[1]华东交通大学铁路环境振动与噪声教育部工程研究中心

出　　处：《城市轨道交通研究》2015年第2期1-6,共6页Urban Mass Transit

基　　金：国家自然科学基金项目(U1134107)

摘　　要：利用LabVIEW提供的高级信号处理工具包和数字滤波器设计工具包对实测轮轨力应变信号进行处理,内容包括消除基准漂移、去除宽带噪声和提取信号特征等。经过处理后证实:Kaiser窗高通滤波器和WA Detrend VI可以很好地消除信号基准漂移,WA Detrend VI比Kaiser窗高通滤波器效果更好;信号经WA Denoise VI处理后,信号噪声消除效果明显;Multiresolution Analysis VI处理信号后,可以很好地提取信号特征。Supported by LabV1EW, the Advance Signal Processing Toolkit and the Digital Filter Design Toolkit are used to process the wheel-rail strain signal that measured in wild. The processing includes eliminating baseline drift, reducing wideband noise and extracting signal features. After the processing, it is confirmed that the use of Kaiser Window high-pass filter and WA Detrend VI could effectively eliminate baseline drift, and the latter is better compared to the former. The effect of noise reduction is obvious when the original signal is processed by WA Denoise VI. After the processing of Multiresolution Analysis VI, the signal feature is easier to be extracted.

关 键 词：轨道交通 轮轨力 小波变换 基准漂移 去噪 信号提取 

分 类 号：U211.5[交通运输工程—道路与铁道工程] U911.73