| 电力系统故障信号的小波变换奇异性检测 |
| |
| 引用本文： | 饶莹,郑建勇,梅军. 电力系统故障信号的小波变换奇异性检测[J]. 江苏电机工程, 2005, 24(4): 17-19 |
| |
| 作者姓名： | 饶莹 郑建勇 梅军 |
| |
| 作者单位： | 东南大学电气工程系,江苏,南京,210096;东南大学电气工程系,江苏,南京,210096;东南大学电气工程系,江苏,南京,210096 |
| |
| 摘 要： | 小波变换具有良好的时频局部化特性，并可根据信号频率的变化自动调节时频窗口，因此利用小波变换可有效地检测出信号的奇异性特征。根据小波分析的基本理论，介绍了利用小波分解后的多尺度高频分量模极大值进行电力系统故障实时定位。给出了仿真研究，仿真分析表明该方法有效。
|
| 关 键 词： | 电力系统 小波变换 奇异点检测 仿真 |
| 文章编号： | 1009-0665（2005）04-0017-03 |
| 收稿时间： | 2005-01-15 |
| 修稿时间： | 2005-01-15 |
Mutant Character Detection of Wavelet Transform in Power System Fault Signal |
| |
| RAO Ying,ZHEN Jian-yong,Mei Jun. Mutant Character Detection of Wavelet Transform in Power System Fault Signal[J]. Jiangsu Electrical Engineering, 2005, 24(4): 17-19 |
| |
| Authors: | RAO Ying ZHEN Jian-yong Mei Jun |
| |
| Abstract: | Wavelet transform,which has perfect time-frequency character,can adjudge both time and frequency windows automatically according to input signal frequency. Therefore it can be used to detect mutant points of input signals effectively. Based on wavelet transform theory, how to make use of high-frequency components of multi-scales to detect faults of power system in line is introduced. Finally, simulation researches and analysis proved the effectiveness of this algorithm. |
| |
| Keywords: | power system wavelet transform mutant points detection simulation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
