为消除智能化高压开关柜监测装置采集信号中的“毛刺”,并克服传统低通滤波方法去除“毛刺”的同时也去掉了有用的高频成分的问题 ,该文提出了一种具有时域选择性的消除“毛刺”的方法。该方法通过利用小波变换具有时频局部化的特点 ,可以准确地检测“毛刺”出现的位置并加以消除 ,从而在消除“毛刺”的同时保留了有用的高频成分。通过对线圈电流的处理结果 ,可看出小波变换对传统低通滤波方法的优势。利用小波检测信号突变点的优势 ,还设计了检测信号起止点的算法 In order to eliminate the “glitch” in the signals collected by the intelligent high voltage switchgear monitoring device and to overcome the traditional low-pass filtering method to remove the “glitch” and remove the useful high-frequency components, Selectively eliminate “burr” method. By using wavelet transform with the characteristics of time-frequency localization, this method can accurately detect and eliminate the occurrence of “glitch”, thus eliminating the “glitch” and retaining the useful high-frequency components. Through the coil current processing results, we can see the advantages of wavelet transform traditional low-pass filtering method. Using wavelet to detect the signal mutation point advantage, we also design the algorithm to detect the start and end of the signal