基于小波熵优化的高压电缆局部放电信号降噪算法研究
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摘要
高压电缆是电力传输的重要设备,由于电缆的绝缘在线监测系统在所处环境的影响下,采集到的局部放电脉冲信号往往含有大量噪声。针对以上问题,提出一种基于小波变换的熵值优化算法,详尽介绍该算法的降噪原理,这种方法不但可以高效处理掉局部放电脉冲信号中的噪声信号,并且能非常完整的保存PD信号的完整性。通过实验室模拟实验以及进行现场试验,从中得到的波形及信噪比可以看出该算法在实际情况中有优良的降噪能力,证实了该算法的可行性和可靠性。
The high-voltage cable is an important device for power transmission. Due to the influence of the environment, the collected partial discharge(PD) pulse signal often contains a lot of noise. Aiming at the above problems, this paper proposes a wavelet entropy optimization algorithm. The noise reduction principle of the algorithm is introduced in detail in this paper. This method not only can effectively process the noise signal in the partial discharge pulse signal, but also can completely preserve the integrity of the PD signal. Through the laboratory simulation experiment and the field test, the waveform and signal-to-noise ratio obtained from it can be seen that the algorithm has excellent noise reduction ability in the actual situation, which proves the feasibility and reliability of the algorithm.
The high-voltage cable is an important device for power transmission. Due to the influence of the environment, the collected partial discharge(PD) pulse signal often contains a lot of noise. Aiming at the above problems, this paper proposes a wavelet entropy optimization algorithm. The noise reduction principle of the algorithm is introduced in detail in this paper. This method not only can effectively process the noise signal in the partial discharge pulse signal, but also can completely preserve the integrity of the PD signal. Through the laboratory simulation experiment and the field test, the waveform and signal-to-noise ratio obtained from it can be seen that the algorithm has excellent noise reduction ability in the actual situation, which proves the feasibility and reliability of the algorithm.
引文
[1] 代荡荡,王先培,龙嘉川,等.基于改进Protrugram和小波变换的超高频局部放电信号去噪方法[J].高电压技术,2018,44(11):3577-3586.
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[3] 王永强,张斌,李长元,等.基于改进DTCWT的GIS局部放电信号降噪方法的研究[J].高压电器,2018,54(3):10-16.
[4] 张建文,陈焕栩,周鹏.基于小波阈值的局部放电去噪新方法[J].电工电能新技术,2017,36(8):80-88.
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[6] 宋晓霞,向北平,倪磊,等.基于样本熵的改进空域相关去噪算法[J].机械设计与研究,2018,34(4):31-36.
[7] CHANG C S,JIN J,KUMAR S,et al.Denoising of partial discharge signals in wavelet packets domain[J].IEE Proceedings-Science,Measurement and Technology,2005,152(3):129-140.
[8] MAHESWARI R V,SUBBURAJ P,VIGNESHWARAN B,et al.Partial Discharge Signal Denoising using Adaptive Translation Invariant Wavelet Transform-Online Measurement[J].Journal of Electrical Engineering & Technology,2014,9(2):695-706.
[9] 刘牮,楼光海,黄微.结合双树复小波变换和滑动平均滤波的心电信号去噪方法[J].电子测量技术,2018,41(19):112-117.
[10] 田晶,王英杰,王志,等.基于EEMD与空域相关降噪的滚动轴承故障诊断方法[J].仪器仪表学报,2018,39(7):144-151.
[11] 鲁道阳,王泽民.改进的小波阈值去噪算法研究[J].国外电子测量技术,2018,37(2):40-43.
[12] 沙洲,杨洋,刘颖华,等.小波信息熵在输水管道泄漏检测技术中的应用[J].电子测量与仪器学报,2018,32(7):151-156.
[13] 阎妍,行鸿彦.基于小波包多阈值处理的海杂波去噪方法[J].电子测量与仪器学报,2018,32(8):172-178.
[14] 杨颖,游蛟,贾志东,等.10kV交联聚乙烯电缆运行状态评估分析[J].高电压技术,2017,43(5):1684-1692.
[15] 龙嘉川,王先培,代荡荡,等.基于改进S变换的超高频局部放电信号特征提取及分类[J].高电压技术,2018,44(11):3649-3656.
[16] HUSSEIN R,SHABAN K B,El-HAG A H.Denoising different types of acoustic partial discharge signals using power spectral subtraction[J].High Voltage,2018.3(1):44-50.
[2] TIAN Y,LEWIN P L,DAVIES A E.Comparison of on-line partial discharge detection methods for HV cable joints[J].IEEE Transactions on Dielectrics and Electrical Insulation,2002,9(4):604-615.
[3] 王永强,张斌,李长元,等.基于改进DTCWT的GIS局部放电信号降噪方法的研究[J].高压电器,2018,54(3):10-16.
[4] 张建文,陈焕栩,周鹏.基于小波阈值的局部放电去噪新方法[J].电工电能新技术,2017,36(8):80-88.
[5] EVAGOROU D,KYPRIANOU A,LEWIN P L,et al.Feature extraction of partial discharge signals using the wavelet packet transform and classification with a probabilistic neural network[J].IET Science Measurement & Technology,2010,4(3):177-180.
[6] 宋晓霞,向北平,倪磊,等.基于样本熵的改进空域相关去噪算法[J].机械设计与研究,2018,34(4):31-36.
[7] CHANG C S,JIN J,KUMAR S,et al.Denoising of partial discharge signals in wavelet packets domain[J].IEE Proceedings-Science,Measurement and Technology,2005,152(3):129-140.
[8] MAHESWARI R V,SUBBURAJ P,VIGNESHWARAN B,et al.Partial Discharge Signal Denoising using Adaptive Translation Invariant Wavelet Transform-Online Measurement[J].Journal of Electrical Engineering & Technology,2014,9(2):695-706.
[9] 刘牮,楼光海,黄微.结合双树复小波变换和滑动平均滤波的心电信号去噪方法[J].电子测量技术,2018,41(19):112-117.
[10] 田晶,王英杰,王志,等.基于EEMD与空域相关降噪的滚动轴承故障诊断方法[J].仪器仪表学报,2018,39(7):144-151.
[11] 鲁道阳,王泽民.改进的小波阈值去噪算法研究[J].国外电子测量技术,2018,37(2):40-43.
[12] 沙洲,杨洋,刘颖华,等.小波信息熵在输水管道泄漏检测技术中的应用[J].电子测量与仪器学报,2018,32(7):151-156.
[13] 阎妍,行鸿彦.基于小波包多阈值处理的海杂波去噪方法[J].电子测量与仪器学报,2018,32(8):172-178.
[14] 杨颖,游蛟,贾志东,等.10kV交联聚乙烯电缆运行状态评估分析[J].高电压技术,2017,43(5):1684-1692.
[15] 龙嘉川,王先培,代荡荡,等.基于改进S变换的超高频局部放电信号特征提取及分类[J].高电压技术,2018,44(11):3649-3656.
[16] HUSSEIN R,SHABAN K B,El-HAG A H.Denoising different types of acoustic partial discharge signals using power spectral subtraction[J].High Voltage,2018.3(1):44-50.