The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Laws/Policies/Regulations
Companies/Products
Bookmark and Share
A new method based on wavelet transformation for detecting distortion point of electrical power system profile with noises
Author(s): 
Pages: 56-60
Year: Issue:  7
Journal: RELAY

Keyword:  电能质量扰动分析小波变换信号增强;
Abstract: 电能质量扰动分析是提高电能质量的基础和依据,其关键问题就是如何准确检测与定位混有噪声电能波形畸变的发生时刻.该文提出了将小波变换后的高频数据进行阈值滤波和信号增强的处理,然后再利用模极大值的方法来检测突变信息.该算法不仅能很好地抑制噪声,还能有效地增强突变点信息,为后续的突变点的精确定位提供了有利条件.仿真实验结果表明,该算法在较强的噪声干扰的情况下仍然有较高的精度和可靠性,是一种行之有效的方法.
Related Articles
No related articles found