基于经验模态分解的电能质量信号消噪新方法  

A New Method of the Power Quality Signal De-noising Based on Empirical Mode Decomposition

作　　者：黄浩[1] 胡峰[1] 

机构地区：[1]三峡大学电气信息学院,湖北宜昌443002

出　　处：《长沙电力学院学报（自然科学版）》2006年第4期27-30,37,共5页JOurnal of Changsha University of electric Power:Natural Science

摘　　要：基于EMD理论,采用一种电能质量信号消噪的新方法,即首先对电能质量信号进行EMD分解,得到一系列的IMF分量和一个剩余分量,根据噪声和信号在不同尺度的IMF分量上的表现特性,分别将其进行阈值处理,再将消噪后的IMF分量重构,从而得到消噪后的电能质量信号.仿真结果表明,该方法的消噪效果较好.Based on the Empirical Mode Decomposition （EMD）, this paper employs a new method to remove noise of power quality signals. Firstly, analysis the power quality disturbance signals by EMD, a series of intrinsic mode functions （IMFs） and a residue are gained. Then the IMFs are threshold; finally the de-noised signals are acquired by reconstructing the threshold IMFs. The simulation indicates that this new method has the excellent ability of de-noising; it could obtain wonderful result in dealing with power quality signal de-noising.

关 键 词：电能质量 信号消噪 经验模态分解 固有模态函数 阈值处理 

分 类 号：TM714[电气工程—电力系统及自动化]