改进小波阈值去噪法在谐波检测中的应用
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摘要
针对电力系统谐波检测中传统的软、硬阈值去噪方法不能有效的解决噪声干扰的问题,提出了一种新的去噪算法:改进软硬阈值折衷法。对模拟的电力系统信号分别采用传统的硬、软阈值法、软硬阈值折衷法和文中方法进行Matlab仿真,定量对比分析得出结论:改进软硬阈值折衷法能够更好的解决噪声干扰问题,去噪信号的的信噪比得到提高,均方根误差得到减少,重构后信号能更好还原原始信号,去噪效果好,实用价值较高。
Aiming at the problem that the traditional soft threshold and hard threshold de-noising methods cannot effectively solve the problem of noise interference in harmonic detection of power system,a new de-noising algorithm of the improved soft and hard threshold tradeoff method is proposed in this paper. Matlab is used to simulate the signal of power system adopting the traditional hard and soft threshold method,soft and hard threshold tradeoff method and the method in this paper.The quantitative comparative analysis shows that the improved soft and hard threshold tradeoff method can restrain noise pollution better,improve the signal-to-noise ratio of the de-noising signal,reduce the RMS error,and the reconstructed signal can better restore the original signal,which obtains a good de-noising effect and has high practical value.
Aiming at the problem that the traditional soft threshold and hard threshold de-noising methods cannot effectively solve the problem of noise interference in harmonic detection of power system,a new de-noising algorithm of the improved soft and hard threshold tradeoff method is proposed in this paper. Matlab is used to simulate the signal of power system adopting the traditional hard and soft threshold method,soft and hard threshold tradeoff method and the method in this paper.The quantitative comparative analysis shows that the improved soft and hard threshold tradeoff method can restrain noise pollution better,improve the signal-to-noise ratio of the de-noising signal,reduce the RMS error,and the reconstructed signal can better restore the original signal,which obtains a good de-noising effect and has high practical value.
引文
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[7]许佳,牛海清,等.改进阈值函数的小波熵方法抑制局部放电白噪声的研究[J].电测与仪表,2017,54(8):28-32.Xu Jia,Niu Haiqing,et al.Suppressing white noise research in PD signal based on wavelet entropy and improved threshold function[J].Electrical Measurement&Instrumentation,2017,54(8):28-32.
[8]单锐,齐越,刘文.一种改进的小波阈值去噪算法[J].兰州:兰州理工大学学报,2014,40(4):101-104.
[9]Chabchoub S,Mansouri S,Salah R B.Impedance cardiography signal denoising using discrete wavelet transform[J].Australasian Physical&Engineering Sciences in Medicine,2016,39(3):1-9.
[10]Tomic M,Sersic D.Point-Wise Adaptive Wavelet Transform for Signal Denoising[J].Informatica,2013,24(4):637-656.
[11]王洪斌,王世豪,等.基于改进多阈值小波包的去噪算法及应用[J].计量学报,2016,37(2):205-208.Wang Hongbin,Wang Shihao,et al.An Improved Multiple Threshold Wavelet Packet De-noising Algorithm and Its Application[J].Acta Metrologica Sinica,2016,37(2):205-208.
[2]范小龙,谢维成,蒋文波,等.一种平稳小波变换改进阈值函数的电能质量扰动信号去噪方法[J].电工技术学报,2016,31(14):219-226.
[3]李红延,周云龙,等.一种新的小波自适应阈值函数振动信号去噪算法[J].仪器仪表学报,2015,36(10):2200-2206.Li Hongbin,Zhou Yunlong,et al.Wavelet-based vibration signal denoising algorithm with a new adaptive threshold function[J].Chinese Journal of Scientific Instrument,2015,36(10):2200-2206.
[4]朱文文.电力系统谐波检测与去噪方法研究[D].南京:南京邮电大学,2013.
[5]范小龙,谢维成,等.一种平稳小波变换改进阈值函数的电能质量扰动信号去噪方法[J].电工技术学报,2016,31(14):219-226.
[6]徐晨,赵瑞珍,甘小冰.小波分析应用算法[M].第一版.科学出版社,2016.
[7]许佳,牛海清,等.改进阈值函数的小波熵方法抑制局部放电白噪声的研究[J].电测与仪表,2017,54(8):28-32.Xu Jia,Niu Haiqing,et al.Suppressing white noise research in PD signal based on wavelet entropy and improved threshold function[J].Electrical Measurement&Instrumentation,2017,54(8):28-32.
[8]单锐,齐越,刘文.一种改进的小波阈值去噪算法[J].兰州:兰州理工大学学报,2014,40(4):101-104.
[9]Chabchoub S,Mansouri S,Salah R B.Impedance cardiography signal denoising using discrete wavelet transform[J].Australasian Physical&Engineering Sciences in Medicine,2016,39(3):1-9.
[10]Tomic M,Sersic D.Point-Wise Adaptive Wavelet Transform for Signal Denoising[J].Informatica,2013,24(4):637-656.
[11]王洪斌,王世豪,等.基于改进多阈值小波包的去噪算法及应用[J].计量学报,2016,37(2):205-208.Wang Hongbin,Wang Shihao,et al.An Improved Multiple Threshold Wavelet Packet De-noising Algorithm and Its Application[J].Acta Metrologica Sinica,2016,37(2):205-208.