基于小波变换的含噪声行波信号奇异点检测  

A WAVELET TRANSFORM BASED SINGULARITY DETECTION OF TRAVELING WAVE SIGNAL CONTAINING NOISE

作　　者：姜晟[1] 舒乃秋[1] 胡芳[1] 周静[1] 

机构地区：[1]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《电网技术》2004年第10期59-62,共4页Power System Technology

摘　　要：小波变换是检测信号奇异点的 种有效的数学工具。对丁含噪声电流行波信号奇异点的检测,则需要一个基于小波变换的有效算法。作者在非线件阀值法去噪的基础卜利用模极大值线的方法正确地检测出含噪声行波信号的奇异点,并通过数字仿真验证了此方法的实用性。Wavelet transform is an efficient mathematical tool for singularity detection. In order to detect the singularity of the traveling wave current containing noise an efficient algorithm based on wavelet transform is needed. In this paper, a method using modulus maximum line based on the denoising by nonlinear threshold is presented, by which the singularity of the traveling wave signal containing noise can be accurately detected. The practicality of the presented method is validated by digital simulation.

关 键 词：电力系统 电网 数字仿真系统 小波变换 噪声 行波信号 检测 

分 类 号：TM743[电气工程—电力系统及自动化]