基于小波阈值的高速道岔振动信号降噪

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振动与冲击 ›› 2014, Vol. 33 ›› Issue (23) : 200-206.

论文

基于小波阈值的高速道岔振动信号降噪

周祥鑫1，王小敏1，杨扬1，郭进1，王平2

作者信息 +

De-Noising of High-speed Turnout Vibration Signal based on Wavelet Threshold

ZHOU Xiang-xin1, WANG Xiao-min1, YANG Yang1 , GUO Jin1, WANG Ping2

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文章历史 +

摘要

在高速道岔伤损监测中，道岔振动信号是道岔伤损监测的重要信息来源，鉴于该信号在采集和传输过程中噪声干扰严重，影响伤损识别的准确性，研究了一种基于小波阈值的高速道岔振动信号降噪方法。详细讨论了道岔振动信号降噪过程中小波基、分解层数、阈值准则、阈值函数等参数的选择，并利用频响函数、主元分析和平均马氏距离分析降噪处理对伤损识别的影响。实验结果表明，该方法能有效降低噪声对伤损识别的干扰，为进一步对道岔进行伤损分析创造了良好的条件。

Abstract

Turnout vibration signals are important information in the high-speed turnout damage monitoring. As the signals are interfered with strong noise during the process of field acquisition and transmission, the accuracy of damage identification based on noisy vibration signals is declined seriously. To overcome this problem, a denoising method is generally employed before the damage identification. The complex and noisy vibration samples from the field, however, raise the hurdle for denoising. An effective denoising method based on wavelet threshold for turnout vibration signals is proposed in this paper. The wavelet basis, decomposition scale, threshold criteria and threshold function are empirically discussed for wavelet threshold denoising. Then damage identification analysis is conducted by the principal component analysis (PCA) of frequency response function (FRF) and average Mahalanobis distance (MD). The experimental results show that the method can reduce the noise interference effectively for damage identification, and create favorable conditions for further damage analysis.

导出引用

周祥鑫;王小敏;杨扬;郭进;王平. 基于小波阈值的高速道岔振动信号降噪[J]. 振动与冲击, 2014, 33(23): 200-206

ZHOU Xiang-xin;WANG Xiao-min;YANG Yang;GUO Jin;WANG Ping. De-Noising of High-speed Turnout Vibration Signal based on Wavelet Threshold[J]. Journal of Vibration and Shock, 2014, 33(23): 200-206