小波变换和数学形态学在行波故障定位消噪中的应用

有效滤除行波的噪声干扰,提取有用的行波信号是实现行波故障定位的关键.在比较了小波变换和数学形态学对白噪声和脉冲噪声的滤除效果的基础上,结合小波变换和数学形态学各自的优点,提出对行波信号进行消噪时,先采用数学形态学滤波器滤除行波信号中的脉冲噪声,再采用基于小波变换的软阈值化算法滤除白噪声的综合去噪方法.实例分析表明该综合去噪方法的去噪效果较好.

Application of Wavelet Transform and Mathematics Morphology in De-Noising of Traveling Wave Fault Location

Efficiently filtering the noise of traveling wave and extracting the useful signal of traveling wave are the keys that realize the traveling wave fault location. On the basis of comparing the de-noising effect of Wavelet Transform with that of Mathematics Morphology in aspect of white noise and impulsive noise,this paper has combined the advantage of Wavelet Transform with the advantage of Mathematics Morphology. It has put forward a combined method for the traveling wave signal de-noising ,that is at first adopting Mathematics Morphology to filter the impulsive noise in the signal of traveling wave, and then adopting soft-threshold algorithm based on Wavelet Transform to filter white noise. Example analysis shows that the de-noising effect of this combined method is better.