基于小波分析理论的桥梁监测信号去噪研究

Study on Bridge Monitoring Signal Denoising Based on Wavelet Analysis Theory

文章针对桥梁监测信号中的噪声,结合国内外研究现状,以采集的桥梁动应变监测信号为研究对象,并以小波分析理论为理论依据,对原始信号进行分析处理。对于所采集的原始动应变信号,发现采用bior3.1小波基能取得最高的信噪比,Rigrsure阈值规则能取得较高的信噪比和per值,在此基础上通过软阀值处理能获得更加平滑的频域波形,为小波分析理论在桥梁监测信号去噪领域的应用提供参考。

Regarding the noise in bridge monitoring signals,based on the research status at home and abroad,with the dynamic strain monitoring signals of the bridges as the research objects,this article analyzed and processed the original signals with the wavelet analysis theory as the theoretical basis.For the original dynamic strain signal collected,it is found that the highest signal-to-noise ratio can be obtained by using the bior3.1 wavelet base,and the Rigrsure threshold rule can achieve a higher signal-to-noise ratio and per value,then,on this basis,the smoother frequency domain waveforms can be obtained through soft threshold value processing,which can provide a reference for the application of wavelet analysis theory in the field of bridge monitoring signal denoising.