小波去噪算法研究及在电力系统中的应用
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摘要
暂态信号分析是电力系统故障诊断和暂态保护的基础和依据,小波变换为暂态信号分析提供了强有力的数学工具。小波分析由于在时域频域同时具有良好的局部化性质和多分辨率分析的特点,用于信号去噪,能得到较为满意的结果,同时也是小波理论应用于实际的一个重要方面。文章主要介绍了用于一维检测信号去噪的4种常用方法,并在虚拟仪器开发软件LabVIEW环境中实现了上述去噪算法,最后对这几种算法的去噪效果、信噪比、均方误差和计算时间等方面进行了比较,同时也就小波基函数的选择对去噪效果的影响进行了分析比较。
Transient signal analysis is the basis of fault detection and transient signal protection in electric power system.Wavelet transform provides a cogent math tool for transient signal analysis.Wavelet analysis has the characteristics of good localizing quality and multi-resolution response analysis at both time domain and frequency domain simultaneously,and can achieve satisfied result for signal de-noising.This paper mainly studies four common methods of de-noising of testing signal and realizes these algorithms by virtual instrument program software LabVIEW.Finally the paper compares the de-noising effect,SNR,RMS and calculating time of these methods and analyzes the results of de-noising when choosing different Wavelet.
Transient signal analysis is the basis of fault detection and transient signal protection in electric power system.Wavelet transform provides a cogent math tool for transient signal analysis.Wavelet analysis has the characteristics of good localizing quality and multi-resolution response analysis at both time domain and frequency domain simultaneously,and can achieve satisfied result for signal de-noising.This paper mainly studies four common methods of de-noising of testing signal and realizes these algorithms by virtual instrument program software LabVIEW.Finally the paper compares the de-noising effect,SNR,RMS and calculating time of these methods and analyzes the results of de-noising when choosing different Wavelet.
引文
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[11]石志强,任震.基于B小波的异步电机故障信号去噪和检测[J].电力系统自动化,1997,21(6):38-41.
[12]金玉生,李红杰,严璋.应用小波变换测量间断角的新方法[J].电力系统自动化,1998,22(1):33-35.
[13]Shyh-Jier H,Hsieh C T,et al.Application of MorletWavelet to Power System Disturbances[J].IEEETans.On Power Delivery,1999,114(1):235-243.
[14]Robertson D C,Camps O I,et al.Wavelet and Electro-magnetic Power System Transients[J].IEEE Trans.OnPower Delivery,1996,11(2):1 050-1 058.
[15]任震,黄雯莹,何建军,等.小波分析及其在电力系统中的应用(一)[J].电力系统自动化,1997,21(1):5-7.
[2]杨乐平,李海涛,赵勇.LabVIEW高级程序设计[M].北京:清华大学出版社,2003.
[3]薛年喜.MATLAB在数字信号处理中的应用[M].北京:清华大学出版社,2003.
[4]飞思科技产品研发中心.MATLAB 6.5辅助小波分析应用[M].北京:电子工业出版社,2003.
[5]陈怀琛.MATLAB及在电子信息课程中的应用[M].北京:电子工业出版社,2002.
[6]郑治真.小波变换及其MATLAB工具的应用[M].北京:地震出版社,2001.
[7]张小飞,徐大专,齐泽锋.基于模极大值小波域的去噪算法研究[J].数据采集与处理,2003,18(9):315-318.
[8]汤宝平,杨昌棋,谭善文,等.基于平移不变的小波去噪方法及应用[J].重庆大学报(自然科学版),2002,25(3):1-5.
[9]张维强,徐晨.一种基于平移不变的小波阈值去噪算法[J].现代电子技术,2003,(6):29-31.
[10]王斌,田金文,彭复员.小波去噪中对模极大值的处理[J].华中理工大学学报,1997,25(11):61-63.
[11]石志强,任震.基于B小波的异步电机故障信号去噪和检测[J].电力系统自动化,1997,21(6):38-41.
[12]金玉生,李红杰,严璋.应用小波变换测量间断角的新方法[J].电力系统自动化,1998,22(1):33-35.
[13]Shyh-Jier H,Hsieh C T,et al.Application of MorletWavelet to Power System Disturbances[J].IEEETans.On Power Delivery,1999,114(1):235-243.
[14]Robertson D C,Camps O I,et al.Wavelet and Electro-magnetic Power System Transients[J].IEEE Trans.OnPower Delivery,1996,11(2):1 050-1 058.
[15]任震,黄雯莹,何建军,等.小波分析及其在电力系统中的应用(一)[J].电力系统自动化,1997,21(1):5-7.
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