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基于小波原理的电能质量检测数据实时压缩方法
引用本文:欧阳森,宋政湘,陈德桂,王建华. 基于小波原理的电能质量检测数据实时压缩方法[J]. 电网技术, 2003, 27(2): 37-40
作者姓名:欧阳森  宋政湘  陈德桂  王建华
作者单位:西安交通大学电器教研室,陕西省,西安市,710049
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。

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
文章编号:1000-3673(2003)02-0037-04
修稿时间:2002-03-01

A WAVELET THEORY BASED REAL-TIME DATA COMPRESSION METHOD FOR POWER QUALITY DETECTION
OUYANG Sen,SONG Zheng-xiang,CHEN De-gui,WANG Jian-hua. A WAVELET THEORY BASED REAL-TIME DATA COMPRESSION METHOD FOR POWER QUALITY DETECTION[J]. Power System Technology, 2003, 27(2): 37-40
Authors:OUYANG Sen  SONG Zheng-xiang  CHEN De-gui  WANG Jian-hua
Abstract: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..
Keywords:power quality  wavelet transform  threshold  compression
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