基于不同预处理方法的多小波暂态信号去噪

Denoising of Transient Signals Based on Multiwavelets with Different Pre-Processing Methods

在介绍多小波基本理论的基础上 ,探讨了多小波的不同预处理方法并对多小波滤波器响应产生的影响进行了比较 .通过对噪声信号的多小波变换分析 ,设计基于多小波变换的去噪方法 .最后通过大量的仿真工作 ,对不同预处理方法的多小波与传统小波的电力系统故障暂态信号去噪效果进行了深入分析 ,结果表明 :预处理方法的选择是影响多小波去噪效果的关键因素 ,若选择合适的预处理方法 ,利用多小波对暂态信号进行去噪 ,可以获得比传统小波更好的去噪效果 .

Based on the introduction of multiwavelets and their pre-processing methods, the influence on multiwavelet filters response with the different pre-processing methods are discussed and compared. Through the analysis of multiwavelet transformation of noise signal, the denoising method is presented. The denoising effect of power system fault transient signals with traditional wavelet and multiwavelets based on different pre-processing methods is analyzed and compared after a great deal of simulation work. The results indicate that the choice of pre-processing methods is a key factor, and the denoising effect of transient signals with multi-wavelets based on proper pre-processing methods is better than that with traditional wavelet.