基于小波阈值的桥梁形变参数去噪方法

Bridge deformation parameters denoising based on wavelet threshold

桥梁健康监测参数采集过程中,噪声信号会对桥梁数据的正确解析带来很多不确定因素,将小波阈值去噪方法应用于桥梁形变参数测试中,以提高桥梁参数测试精度。分析对比了不同小波基与不同阈值对桥梁振动信号的去噪效果,选用db小波阈值去噪对桥梁测试振动、位移、角度信号进行了去噪处理。仿真结果显示,小波阈值去噪方法取得较高的信噪比,振动、位移、角度的信噪比分别达到了26.94、46.85、26.93dB;同时,所采用方法可达到较低的均方根误差,振动、位移、角度的均方根误差分别达到了0.021、0.009、0.099。可见,所采取方法可有效去除桥梁监测信号中的噪声信号,可有效提高桥梁形变参数的测量精度。

In the process of parameters acquisition of bridge health,noise will bring many uncertain factors to the correct analysis of bridge data,so,wavelet threshold denoising is applied to bridge deformation measurement parameters to improve the accuracy of bridge measurement.Compared the bridge vibration signal denoising effect between different wavelet bases and threshold values,then choose the db wavelet threshold denoising method to process the signals of bridge vibration、bridge displacement and bridge Angle.Simulation results show that the method can achieve higher SNR,the SNR of vibration,displacement and angle reached 26.94,46.85 and 26.93 dB respectively;Meanwhile,the method can achieve low RMSE,the RMSE of vibration,displacement and angle reached 0.021,0.009 and 0.099 respectively.It can be seen that the proposed method can effectively remove the noise signals in the bridge monitoring and improve the measurement accuracy of the bridge deformation parameters.