基于小波变换的电力信号奇异性检测  

Detection of Power Signal Singularity Based on Wavelet Transform

作　　者：何国栋[1] 章姗姗[1] 

机构地区：[1]安徽师范大学物理与电子信息学院,安徽芜湖241000

出　　处：《安徽师范大学学报（自然科学版）》2008年第4期330-332,共3页Journal of Anhui Normal University(Natural Science)

摘　　要：电力信号奇异性是分析事故时间和原因的重要依据,小波变换能在时域和频域上同时对信号实现局部化处理,能准确的定位信号的奇异点,因而在信号的奇异性检测方面有广泛的应用价值.本文介绍了小波变换对电能质量信号检测的基本原理和方法,并通过MALAB仿真实验验证.Singularity of power signal has great significance for the accidence. The wavelet transform has good localization property both in the time and frequency domains, can localize the singularity point precisely. The wavelet transform has used for detecting the signal singularity largely. In this paper, the application of wavelet transform in the detection of the singularity is briefly introduced, MATLAB simulation validates this method.

关 键 词：小波变换 奇异性检测 电力信号 

分 类 号：TN911.23[电子电信—通信与信息系统]