电力扰动信号的小波形态学去噪方法  

Wavelet-Morphology De-noising Algorithm of Disturbing Signal

作　　者：陈晓娟[1] 李松寒[1] 隋吉生[2] 王丽[1] 

机构地区：[1]东北电力大学信息工程学院,吉林吉林132012 [2]吉林省电力有限公司,吉林长春130021

出　　处：《河南科技大学学报（自然科学版）》2011年第5期33-36,4,共4页Journal of Henan University of Science And Technology:Natural Science

基　　金：吉林省自然科学基金项目(20101519);东北电力大学研究生创新基金项目(20100017)

摘　　要：电力系统运行中扰动现象对供电质量和系统的安全运行造成了极大的影响。为了找出各种扰动现象的规律,减少、避免扰动发生,通常采用小波变换方法从噪声中提取扰动信号,但有些扰动信号与噪声的小波变换系数值相近,且低于阈值被当作噪声去掉,导致信号失真。本文提出了一种小波形态学融合的去噪算法。仿真结果表明:该融合算法能有效消除噪声并能较好地保留扰动信号的特征。Different disturbances occurring in the operation of power systems often affect power supply quality and system safety.To find the laws of disturbing phenomenons and reduce the occurrence of disturbance,wavelet transform was often used to extract disturbing signals.However,wavelet transform coefficients of some disturbing signals may be similar to the noise and are removed as noise below the threshold,so signal distortion was resulted.Wavelet-morphology was proposed in this paper.Fusion algorithms can effectively eliminate noises and preserve the characteristics of original signals showed by experiments.

关 键 词：扰动信号 小波变换 数学形态学 

分 类 号：TN911.7[电子电信—通信与信息系统]