| 小波阈值估计在电力系统故障信号消噪处理中的应用 |
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| 引用本文： | 孙丽颖,闫钿. 小波阈值估计在电力系统故障信号消噪处理中的应用[J]. 广东电力, 2005, 18(10): 1-4 |
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| 作者姓名： | 孙丽颖 闫钿 |
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| 作者单位： | 辽宁工学院,信息科学与工程学院,辽宁,锦州,121001;辽宁工学院,信息科学与工程学院,辽宁,锦州,121001 |
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| 摘 要： | 考虑电力系统中噪声因素对故障检测与识别的影响,在分析了噪声信号的小波变换特性的基础上,提出一种基于小波系数的阈值估计方法.应用该方法对电力系统故障暂态信号进行消噪处理,从而更有利于故障的检测与识别.通过仿真实例说明,在消噪效果和计算量等方面,该方法比其它传统阈值算法更具优越性.
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| 关 键 词： | 小波变换 电力系统 信号消噪 |
| 文章编号： | 1007-290X(2005)10-0001-03 |
| 修稿时间： | 2005-03-12 |
Application of wavelet threshold evaluation in signal de-noising of power system faults |
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| SUN Li-ying,YAN Tian. Application of wavelet threshold evaluation in signal de-noising of power system faults[J]. Guangdong Electric Power, 2005, 18(10): 1-4 |
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| Authors: | SUN Li-ying YAN Tian |
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| Abstract: | Considering the noise effects on the fault identification and detection in power system,with the analysis on wavelet transform characteristics of noise signals,this paper puts forward a threshold evaluation method based on wavelet transform coefficient.This method can be applied to de-noising for transient signals of power system faults,making the faults easily identified.It is illustrated through simulation examples that the method is superior to other conventional threshold algorithms in terms of the de-noising effects and the computational complexity. |
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| Keywords: | wavelet transform power system signal de-noising |
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