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基于相似小波变换的电力系统故障信号分析
引用本文:黄群古,任震,黄雯莹. 基于相似小波变换的电力系统故障信号分析[J]. 华南理工大学学报(自然科学版), 2001, 29(5): 5-9
作者姓名:黄群古  任震  黄雯莹
作者单位:1. 华南理工大学电力学院,
2. 华南理工大学应用数学系,
基金项目:国家自然科学基金资助项目(50077008);广东省自然科学基金资助项目(980608).
摘    要:提出了两种相似Haar小波函数。这两种小波函数具有对称性、紧支撑等性质。通过比较,证实了这两种相似的小波变换具有较高的计算精度和较好的消噪能力,且具有较低的计算复杂度。此外,本文借助于这两种相似Haar小波变换,分析了电力系统几种典型的故障信号,证明了这两种相似小波变换方法对于检测电力系统故障信号是非常有效的。

关 键 词:相似小波变换 电力系统 信号分析 故障检测 相似Haar小波函数 消噪能力
文章编号:1000-565X(2001)05-0005-05
修稿时间:2000-05-18

Fault Signal Analysis in Power System Based on Similar Wavelet Transforms
Huang Qun_gu,Ren Zhen,Huang Wen_ying. Fault Signal Analysis in Power System Based on Similar Wavelet Transforms[J]. Journal of South China University of Technology(Natural Science Edition), 2001, 29(5): 5-9
Authors:Huang Qun_gu  Ren Zhen  Huang Wen_ying
Abstract:In this paper, two kinds of similar Haar wavelet functions are presented. These wavelet functions possess the advantages of symmetry and compact support and so forth. By comparison with several examples, it is shown that the two kinds of similar Haar wavelet transforms have higher calculation precision, abilities of better de_noise, and lower calculation complexity. Besides, by the application of the two kinds of similar Haar wavelet transforms, typical fault signals in power systems are analyzed. It is proved that the two kinds of similar Haar wavelet transforms are very effective methods of the detection of fault signals in power systems.
Keywords:similar wavelet transform   power system   signal analysis
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