|
|||||
|
|
| 小波变换在电力系统故障信号分析中的应用 | |
| 引用本文： | 孙成祥,晁勤. 小波变换在电力系统故障信号分析中的应用[J]. 水力发电, 2007, 33(2): 70-72 |
| 作者姓名： | 孙成祥 晁勤 |
| 作者单位： | 新疆大学电气工程学院,新疆,乌鲁木齐,830000;新疆大学电气工程学院,新疆,乌鲁木齐,830000 |
| 摘 要： | 正确检测电力系统故障信号对提高电力系统稳定性具有非常重要的意义。通过简要介绍小波变换应用在信号奇异性检测方面的基本原理，提出了基于小波变换的电力系统故障信号分析方法。该方法既充分利用了小波变换在故障信号分析中的优点，又克服了传统傅里叶变换分析方法的不足，并通过实例进行了验证．取得了良好的效果。 |
| 关 键 词： | 小波变换 奇异性检测 Lipschitz指数 电力系统 故障分析 |
| 文章编号： | 0559-9342（2007）02-0070-03 |
| 修稿时间： | 2007-01-12 |
Application of Wavelet Transform to Failure Signal Analysis in Power System |
|
| Sun Chengxiang,Chao Qin. Application of Wavelet Transform to Failure Signal Analysis in Power System[J]. Water Power, 2007, 33(2): 70-72 | |
| Authors: | Sun Chengxiang Chao Qin |
| Affiliation: | College of Electrical Engineering ,XinJiang University,Urumqi Xinjiang 830000 |
| Abstract: | The precise fault detection of the power system has great significance for the security of the power system.In this paper, the application of the wavelet transform in the detection of the singularity is briefly introduced.A method of failure analysis in power systems based on wavelet transform is presented. It well makes use of the advantages of a wavelet transform in failure signal analysis in power systems, and then overcomes the shortage of failure analysis by using traditional Fourier calculation way in signal analysis.An illustration validates this method. |
| Keywords: | wavelet transform singularity detection Lipschitz exponent power system failure analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |