基于小波原理的电能质量检测数据实时压缩方法  

A WAVELET THEORY BASED REAL-TIME DATA COMPRESSION METHOD FOR POWER QUALITY DETECTION

作　　者：欧阳森[1] 宋政湘[1] 陈德桂[1] 王建华[1] 

机构地区：[1]西安交通大学电器教研室,陕西省西安市710049

出　　处：《电网技术》2003年第2期37-40,共4页Power System Technology

摘　　要：根据小波变换的理论,结合电能质量检测数据的特点,文中将基于小波变换系数的门限方法应用于电能质量检测数据的压缩。仿真计算结果及其分析表明,该方法简单而且压缩效果较好,能保留压缩信号的局部特征,计算速度快,很适合于实时性要求较强的场合。On the basis of wavelet transform theory and with the features of power quality detection data, a threshold method based on wavelet transform coefficients are applied to the compression of power quality detection data. The results from simulation and calculation and their analysis show that the presented method is fast and simple and possesses goodcompression effect. The partial features of compressed signals can be retained. So it is suitable to the cases where thereal-time data compression is required..

关 键 词：小波原理 电能质量检测数据 实时压缩方法 仿真 电力系统 

分 类 号：TM743[电气工程—电力系统及自动化]