摘要
本文介绍了一种基于小波的电能质量电压暂态信号奇异性分析,对电能质量电压暂态信号的分析方法有很多,而利用小波变换对信号奇异性的检测能够比较准确的定位发生故障的时间点和能量幅值,同时处理速度较快。利用小波的上述特点本文分别对电压信号的骤升、骤降、中断和震荡等不同情况的暂态信号进行建模分析。
This paper introduces a kind of singularities analysis of power quality voltage transient signal based on wavelet.There are many methods to analyze the transient signal of power quality voltage signal.The detection of signal singularity by wavelet transform can accurately locate the time point and energy amplitude of the fault,and the processing speed is faster at the same time.Using the characteristics of wavelet for modeling analysis,we analyze the transient signals of the voltage,including surge,sag,interruption and oscillation.
作者
黄涛
HUANG Tao(The 36TH Research Institute Of China Electronics Technology Group Corporation,Jiaxing 314000,China)
出处
《软件》
2018年第11期105-109,共5页
Software
关键词
小波
电能质量
暂态信号
奇异性
Wavelet
Power quality
Transient signals
Singularity
