用小波反变换提取高压局部放电信号  

TRACTING PARTIAL DISCHARGE SIGNAL BY WAVELET INVERSE TRANSFORM

作　　者：李树军[1] 张耀升[1] 王荣琴[1] 张新平[1] 

机构地区：[1]天津大学自动化学院,天津300072

出　　处：《天津大学学报（自然科学与工程技术版）》2001年第1期128-131,共4页Journal of Tianjin University：Science and Technology

摘　　要：介绍了小波变换用于突变信号的检测原理 ,给出了实现小波变换的算法 ,对局部放电信号和干扰信号的小波分解特性进行了详细研究 .理论和实验表明 ,利用小波变换检测局部放电与傅立叶变换相比具有独到之处 .This paper describes the principle of singularity detection of signals by wavelet transform.A fast algorithm is developed for computing the wavelet transform of signals.The wavelet character of partial discharge signal and noise signal is studied.Some experimental results are provided to show the advantages of the method,over the fourier transform. Keywords:wavelet transform;singularity detection;partial discharge;Mallat algorithmms.It realizes the separation and adaptation of the enterprise model with the ERP system model.The event participant design pattern classifies enterprise resources into many kinds of members and events,and then information processing is performed under the cooperation of these members in those events.This article provides a systematical method of dynamic enterprise modeling using the event participant design pattern.

关 键 词：小波变换 突变检测 局部放电 MALLAT算法 电力设备 高电压 

分 类 号：TM83[电气工程—高电压与绝缘技术]