短时奇异值分解用于局放信号混合噪声抑制
|
摘要
电缆终端局部放电检测是诊断电缆终端绝缘状态的有效手段。为了有效抑制局放信号中的多种噪声源并保留局放信号的细节,提出了一种基于短时奇异值分解的局放信号混合噪声抑制方法。该方法首先利用短时滑动数据窗截取含噪局放信号片段进行奇异值分解,然后利用最优奇异值阈值对周期性窄带干扰进行甄别重构,并进行混合噪声的抑制。对含有混合噪声的局放仿真信号和实验室及现场实测局放信号进行去噪,并将去噪结果与自适应奇异值分解、形态学小波综合滤波器去噪结果进行对比。结果表明:所提去噪方法相比于自适应奇异值分解、形态学小波综合滤波器去噪能取得更好的去噪效果,去噪后波形相似度更高,误差更小,且当数据量较大时,该方法相比于自适应奇异值去噪能显著提高执行效率,具有较好的应用价值。
Partial discharge(PD) detection for cable termination is a useful method in cable termination diagnosis. To suppress mixed noises in partial discharge signals and preserve more features,a mixed noises suppression method based on short-time singular value decomposition(STSVD) is proposed. Firstly, the singular value decomposition(SVD) is performed on the noisy PD segment obtained by a sliding window along the time axis of analyzed PD signal, and then the mixed noises are eliminated by periodic narrowband noise reconstruction and optimal singular value threshold. The proposed method has been examined on simulated, laboratory obtained and field-detected noisy PD signals, and its results have been compared with adaptive singular value decomposition(ASVD) denoised results and morphology-wavelet filter(MWF) de-noised results. The results show that: compared with ASVD and MWF de-noising method, the proposed method has better performance, and this method can improve the execution efficiency obviously compared with ASVD when the analyzed data is large,which shows the good application value in practical PD detection.
Partial discharge(PD) detection for cable termination is a useful method in cable termination diagnosis. To suppress mixed noises in partial discharge signals and preserve more features,a mixed noises suppression method based on short-time singular value decomposition(STSVD) is proposed. Firstly, the singular value decomposition(SVD) is performed on the noisy PD segment obtained by a sliding window along the time axis of analyzed PD signal, and then the mixed noises are eliminated by periodic narrowband noise reconstruction and optimal singular value threshold. The proposed method has been examined on simulated, laboratory obtained and field-detected noisy PD signals, and its results have been compared with adaptive singular value decomposition(ASVD) denoised results and morphology-wavelet filter(MWF) de-noised results. The results show that: compared with ASVD and MWF de-noising method, the proposed method has better performance, and this method can improve the execution efficiency obviously compared with ASVD when the analyzed data is large,which shows the good application value in practical PD detection.
引文
[1]姜芸,闵虹,夏荣,等.高压交联电缆接头局部放电的电容耦合法检测及分析[J].高电压技术,201036(8):2005-2011.Jiang Yun,Min Hong,Xia Rong,et al.Capacitive coupling detection and characteristic analysis of partial discharge in high-voltage XLPE power cable joints[J].High Voltage Engineering,2010,36(8):2005-2011.
[2]万利,周凯,李旭涛,等.以电场特征理解电缆终端气隙的局部放电发展机理[J].高电压技术,2014,40(12):3709-3716.Wan Li,Zhou Kai,Li Xutao,et al.Toward understanding development mechanism of partial discharge in air gap defects in cable termination by analysis of electric field characteristics[J].High Voltage Engineering,2014,40(12):3709-3716.
[3]吴炬卓.中压电缆局部放电带电检测的白噪声抑制和放电类型识别方法研究[D].广州:华南理工大学,2015.
[4]Ma X,Zhou C,Kemp I J.Automated wavelet selection and thresholding for PD detection[J].IEEE Electrical Insulation Magazine,2002,18(2):37-45.
[5]李天云,高磊,聂永辉,等.基于经验模式分解处理局部放电数据的自适应直接阈值算法[J].中国电机工程学报,2006,26(15):29-34.Li Tianyun,Gao Lei,Nie Yonghui,et al.A new adaptive direct-threshold algorithm to partial discharge data processing based on empirical mode decomposition[J].Proceedings of the CSEE,2006,26(15):29-34.
[6]唐炬,黄江岸,张晓星,等.局部放电在线监测中混频周期性窄带干扰的抑制[J].中国电机工程学报,2010,30(13):121-126.Tang Ju,Huang Jiang’an,Zhang Xiaoxing,et al.Suppression of the periodic narrow-band noise with mixed frequencies in partial discharge on-line monitoring[J].Proceedings of the CSEE,2010,30(13):121-126.
[7]王晓霞,孙书星,马殿光.局部放电在线监测信号中周期脉冲干扰的抑制[J].变压器,2002,39(增刊1):36-38.Wang Xiaoxia,Sun Shuxing,Ma Dianguang.Suppression of periodic pulse interference in on-line PD monitoring systems[J].Transformer,2002,39(S1):36-38.
[8]Seo J,Ma H,Saha T.Probabilistic wavelet transform for partial discharge measurement of transformer[J].IEEE Transactions on Dielectrics&Electrical Insulation,2015,22(2):1105-1117.
[9]Li J,Jiang T,Grzybowski S,et al.Scale dependent wavelet selection for de-noising of partial discharge detection[J].IEEE Transactions on Dielectrics&Electrical Insulation,2010,17(6):1705-1714.
[10]Hussein R,Shaban K B,El-Hag A H.Wavelet transform with histogram-based threshold estimation for online partial discharge signal denoising[J].IEEETransactions on Instrumentation&Measurement,2015,64(12):3601-3614.
[11]王永强,谢军,律方成.基于改进量子粒子群优化稀疏分解的局放信号去噪方法[J].电工技术学报,2015,30(12):320-329.Wang Yongqiang,Xie Jun,LüFangcheng.PD signal denoising method based on improved quantumbehaved particle swarm optimization sparse decomposition[J].Transactions of China Electrotechnical Society,2015,30(12):320-329.
[12]Chan J C,Ma Hui,Saha T K,et al.Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding[J].IEEE Transactions on Dielectrics&Electrical Insulation,2014,21(1):294-303
[13]胡爱军,孙敬敬,向玲.经验模态分解中的模态混叠问题[J].振动、测试与诊断,2011,31(4):429-434.Hu Aijun,Sun Jingjing,Xiang Ling.Mode mixing in empirical mode decomposition[J].Journal of Vibration,Measurement&Diagnosis,2011,31(4):429-434.
[14]Nagesh V,Gururaj B I.Evaluation of digital filters for rejecting discrete spectral interference in on-site PDmeasurements[J].IEEE Transactions on Electrical Insulation,1993,28(1):73-85.
[15]刘宇舜,周文俊,李鹏飞,等.基于广义S变换模时频矩阵的局部放电特高频信号去噪方法[J].电工技术学报,2017,32(9):211-220.Liu Yushun,Zhou Wenjun,Li Pengfei,et al.Partial discharge ultrahigh frequency signal denoising method based on generalized S-transform modular time-frequency matrix[J].Transactions of China Electrotechnical Society,2017,32(9):211-220.
[16]陈孝信,钱勇,许永鹏,等.基于3F-C法的局部放电脉冲信号能量最大似然估计[J].高电压技术,2017,43(2):460-467.Chen Xiaoxin,Qian Yong,Xu Yongpeng,et al.Maximum likelihood estimation of energies in partial discharge pulse signals based on 3F-C method[J].High Voltage Engineering,2017,43(2):460-467.
[17]刘云鹏,律方成,李成榕,等.形态学-小波综合滤波器抑制局放现场干扰[J].高电压技术,2004,30(2):29-31.Liu Yunpeng,LüFangcheng,Li Chengrong,et al.Study of novel integrated morphology-wavelet filter in suppressing PD’S field noise[J].High Voltage Engineering,2004,30(2):29-31.
[18]张宇辉,段伟润,李天云.局部放电信号中抑制周期性窄带干扰的逆向分离方法[J].电工技术学报,2015,30(6):232-239.Zhang Yuhui,Duan Weirun,Li Tianyun.A reverse separation method of suppressing periodic narrowband noise in partial discharge signal[J].Transactions of China Electrotechnical Society,2015,30(6):232-239.
[19]Liang Shengfu,Lu S M,Chang J Y,et al.A novel twostage impulse noise removal technique based on neural networks and fuzzy decision[J].IEEETransactions on Fuzzy Systems,2008,16(4):863-873.
[20]Abdel-Galil T K,El-Hag A H,Gaouda A M,et al.Denoising of partial discharge signal using eigendecomposition technique[J].IEEE Transactions on Dielectrics&Electrical Insulation,2008,15(6):1657-1662.
[21]Ashtiani M B,Shahrtash S M.Partial discharge denoising employing adaptive singular value decomposition[J].IEEE Transactions on Dielectrics&Electrical Insulation,2014,21(2):775-782.
[22]Gavish M,Donoho D.Optimal shrinkage of singular values[J].IEEE Transactions on Information Theory,2017,63(4):2137-2152.
[23]李宽,李兴源,赵睿.基于改进矩阵束的高压直流次同步振荡检测[J].电网技术,2012,36(4):128-132Li Kuan,Li Xingyuan,Zhao Rui.Detection of subsynchronous oscillation in HVDC transmission system based on improved matrix pencil method[J].Power System Technology,2012,36(4):128-132.
[2]万利,周凯,李旭涛,等.以电场特征理解电缆终端气隙的局部放电发展机理[J].高电压技术,2014,40(12):3709-3716.Wan Li,Zhou Kai,Li Xutao,et al.Toward understanding development mechanism of partial discharge in air gap defects in cable termination by analysis of electric field characteristics[J].High Voltage Engineering,2014,40(12):3709-3716.
[3]吴炬卓.中压电缆局部放电带电检测的白噪声抑制和放电类型识别方法研究[D].广州:华南理工大学,2015.
[4]Ma X,Zhou C,Kemp I J.Automated wavelet selection and thresholding for PD detection[J].IEEE Electrical Insulation Magazine,2002,18(2):37-45.
[5]李天云,高磊,聂永辉,等.基于经验模式分解处理局部放电数据的自适应直接阈值算法[J].中国电机工程学报,2006,26(15):29-34.Li Tianyun,Gao Lei,Nie Yonghui,et al.A new adaptive direct-threshold algorithm to partial discharge data processing based on empirical mode decomposition[J].Proceedings of the CSEE,2006,26(15):29-34.
[6]唐炬,黄江岸,张晓星,等.局部放电在线监测中混频周期性窄带干扰的抑制[J].中国电机工程学报,2010,30(13):121-126.Tang Ju,Huang Jiang’an,Zhang Xiaoxing,et al.Suppression of the periodic narrow-band noise with mixed frequencies in partial discharge on-line monitoring[J].Proceedings of the CSEE,2010,30(13):121-126.
[7]王晓霞,孙书星,马殿光.局部放电在线监测信号中周期脉冲干扰的抑制[J].变压器,2002,39(增刊1):36-38.Wang Xiaoxia,Sun Shuxing,Ma Dianguang.Suppression of periodic pulse interference in on-line PD monitoring systems[J].Transformer,2002,39(S1):36-38.
[8]Seo J,Ma H,Saha T.Probabilistic wavelet transform for partial discharge measurement of transformer[J].IEEE Transactions on Dielectrics&Electrical Insulation,2015,22(2):1105-1117.
[9]Li J,Jiang T,Grzybowski S,et al.Scale dependent wavelet selection for de-noising of partial discharge detection[J].IEEE Transactions on Dielectrics&Electrical Insulation,2010,17(6):1705-1714.
[10]Hussein R,Shaban K B,El-Hag A H.Wavelet transform with histogram-based threshold estimation for online partial discharge signal denoising[J].IEEETransactions on Instrumentation&Measurement,2015,64(12):3601-3614.
[11]王永强,谢军,律方成.基于改进量子粒子群优化稀疏分解的局放信号去噪方法[J].电工技术学报,2015,30(12):320-329.Wang Yongqiang,Xie Jun,LüFangcheng.PD signal denoising method based on improved quantumbehaved particle swarm optimization sparse decomposition[J].Transactions of China Electrotechnical Society,2015,30(12):320-329.
[12]Chan J C,Ma Hui,Saha T K,et al.Self-adaptive partial discharge signal de-noising based on ensemble empirical mode decomposition and automatic morphological thresholding[J].IEEE Transactions on Dielectrics&Electrical Insulation,2014,21(1):294-303
[13]胡爱军,孙敬敬,向玲.经验模态分解中的模态混叠问题[J].振动、测试与诊断,2011,31(4):429-434.Hu Aijun,Sun Jingjing,Xiang Ling.Mode mixing in empirical mode decomposition[J].Journal of Vibration,Measurement&Diagnosis,2011,31(4):429-434.
[14]Nagesh V,Gururaj B I.Evaluation of digital filters for rejecting discrete spectral interference in on-site PDmeasurements[J].IEEE Transactions on Electrical Insulation,1993,28(1):73-85.
[15]刘宇舜,周文俊,李鹏飞,等.基于广义S变换模时频矩阵的局部放电特高频信号去噪方法[J].电工技术学报,2017,32(9):211-220.Liu Yushun,Zhou Wenjun,Li Pengfei,et al.Partial discharge ultrahigh frequency signal denoising method based on generalized S-transform modular time-frequency matrix[J].Transactions of China Electrotechnical Society,2017,32(9):211-220.
[16]陈孝信,钱勇,许永鹏,等.基于3F-C法的局部放电脉冲信号能量最大似然估计[J].高电压技术,2017,43(2):460-467.Chen Xiaoxin,Qian Yong,Xu Yongpeng,et al.Maximum likelihood estimation of energies in partial discharge pulse signals based on 3F-C method[J].High Voltage Engineering,2017,43(2):460-467.
[17]刘云鹏,律方成,李成榕,等.形态学-小波综合滤波器抑制局放现场干扰[J].高电压技术,2004,30(2):29-31.Liu Yunpeng,LüFangcheng,Li Chengrong,et al.Study of novel integrated morphology-wavelet filter in suppressing PD’S field noise[J].High Voltage Engineering,2004,30(2):29-31.
[18]张宇辉,段伟润,李天云.局部放电信号中抑制周期性窄带干扰的逆向分离方法[J].电工技术学报,2015,30(6):232-239.Zhang Yuhui,Duan Weirun,Li Tianyun.A reverse separation method of suppressing periodic narrowband noise in partial discharge signal[J].Transactions of China Electrotechnical Society,2015,30(6):232-239.
[19]Liang Shengfu,Lu S M,Chang J Y,et al.A novel twostage impulse noise removal technique based on neural networks and fuzzy decision[J].IEEETransactions on Fuzzy Systems,2008,16(4):863-873.
[20]Abdel-Galil T K,El-Hag A H,Gaouda A M,et al.Denoising of partial discharge signal using eigendecomposition technique[J].IEEE Transactions on Dielectrics&Electrical Insulation,2008,15(6):1657-1662.
[21]Ashtiani M B,Shahrtash S M.Partial discharge denoising employing adaptive singular value decomposition[J].IEEE Transactions on Dielectrics&Electrical Insulation,2014,21(2):775-782.
[22]Gavish M,Donoho D.Optimal shrinkage of singular values[J].IEEE Transactions on Information Theory,2017,63(4):2137-2152.
[23]李宽,李兴源,赵睿.基于改进矩阵束的高压直流次同步振荡检测[J].电网技术,2012,36(4):128-132Li Kuan,Li Xingyuan,Zhao Rui.Detection of subsynchronous oscillation in HVDC transmission system based on improved matrix pencil method[J].Power System Technology,2012,36(4):128-132.