电力系统故障时刻提取的小波分析

Wavelet analysis of the extraction at fault time in power system

小波分析在时域和频域同时具有良好的局部化特性 ,而且可以根据信号频率的变化自动调节时域 频域窗口 ,因此利用小波分析可以有效地检测出信号的奇异性。文章分析了电力系统故障暂态信号的奇异性 ,得出其奇异性的特殊性 ,从而提出利用小波变换进行故障暂态信号奇异性检测的算法 ,保证奇异点的准确检测 。

Wavelet analysis has excellent localization nature in time and frequency domain,and it can change the time and frequency windows according to the variation of signals′ frequency,so utilizing it can detect the singularity of signals efficiently.In this paper we analyze the singularity of fault transient signals in power system and get its particularity,then give the algorithm of detecting singularity of fault transient signals with wavelet transform which confirm the accurate detection of distinguished vertex.