基于改进FastICA的局部放电在线监测窄带干扰高保真性抑制方法

doi:10.19595/j.cnki.1000-6753.tces.170410

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Abstract To solve the waveform distortions and uncertainties of traditional threshold methods and blind separation methods for periodic narrowband noise rejection of partial discharges (PD), this paper presents a noise rejection method based on improved FastICA algorithm. Firstly, in this paper, the number of periodic narrowband noise is determined by information entropy theory combined with mixed partial discharge DFT power spectrum, and the power spectrum “two steps” method is proposed to estimate the interference frequency accurately. Then the simplified Simpson-Newton iteration method and calibration signal are introduced to improve the FastICA algorithm, which can reduce iterations and modify the separated PD signal effectively. The simulation and experiment results show that: the proposed method can reject periodic narrowband noise and keep the original features of partial discharges effectively with low time complexity. Compared with frequency slice wavelet and FFT denoising method, the denoised PD signals using the method of this paper are better without edge effect.

Key words： Partial discharge narrowband noise improved FastICA information entropy calibration signal

Received: 10 April 2017 Published: 13 June 2018

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TM835

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	Zhou Kai
	Xie Min
	Zhao Shilin
	He Min
	Zhang Fuzhong

Cite this article:

Zhou Kai,Xie Min,Zhao Shilin等. Periodic Narrowband Noise Rejection with High Fidelity of Partial Discharge on Line Monitoring Based on Improved FastICA Algorithm[J]. Transactions of China Electrotechnical Society, 2018, 33(11): 2604-2612.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.170410 OR https://dgjsxb.ces-transaction.com/EN/Y2018/V33/I11/2604

[1] 孙才新, 李新, 杨永明. 从白噪声中提取局部放电信号的小波变换方法研究[J]. 电工技术学报, 1999, 14(3): 47-50.
Sun Caixin, Li Xin, Yang Yongming.The method of drawing the PD signals from white noise by Wavelet analysis[J]. Transactions of China Electrotechnical Society, 1999, 14(3): 47-50.
[2] 钱勇, 黄成军, 陈陈, 等. 多小波消噪算法在局部放电检测中的应用[J]. 中国电机工程学报, 2007, 27(6): 89-94.
Qian Yong, Huang Chengjun, Chen Chen, et al.Application of multi-wavelet based on denoising algorithm in partial discharge detection[J]. Proceedings of the CSEE, 2007, 27(6): 89-94.
[3] 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.
[4] Yang Lin, Judd M D, Bennoch C J.Denoising UHF signal for PD detection in transformers based on wavelet technique[C]//2004 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, Boulder, CO, USA 2004: 166-169.
[5] 王恩俊, 张建文, 马晓伟, 等. 基于CEEMD-EEMD 的局部放电阈值去噪新方法[J]. 电力系统保护与控制, 2016, 44(15): 93-98.
Wang Enjun, Zhang Jianwen, Ma Xiaowei, et al.A new threshold denoising algorithm for partial discharge based on CEEMD-EEMD[J]. Power System Protection and Control, 2016, 44(15): 93-98.
[6] 宋亚奇, 周国亮, 朱永利, 等. 云平台下并行总体经验模态分解局部放电信号去噪方法[J]. 电工技术学报, 2015, 30(18): 213-222.
Song Yaqi, Zhou Guoliang, Zhu Yongli, et al.Research on parallel ensemble empirical mode decomposition denoising method for partial discharge signals based on cloud platform[J]. Transactions of China Electrotechnical Society, 2015, 30(18): 213-222.
[7] 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): 212-126.
[8] 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 quantum-behaved particle swarm optimization sparse decomposition[J]. Transactions of China Electrotechnical Society, 2015, 30(12): 320-329.
[9] 陈平, 李庆民. 基于数学形态学的数字滤波器设计与分析[J]. 中国电机工程学报, 2005, 25(11): 60-65.
Chen Ping, Li Qingmin.Design and analysis of mathematical morphology-based digital filters[J]. Proceedings of the CSEE, 2005, 25(11): 60-65.
[10] Nagesh V, Gururaj B I.Evaluation of digital filters for rejecting discrete spectral interference in on-site PD measurements[J]. IEEE Transactions on Electrical Insulation, 1993, 28(1): 73-85.
[11] 张贤达. 现代信号处理[M]. 北京: 清华大学出版社, 2002.
[12] 罗新, 牛海清, 胡日亮, 等. 一种改进的用于快速傅里叶变换功率谱中的窄带干扰抑制的方法[J]. 中国电机工程学报, 2013, 33(12): 167-175.
LuoXin, NiuHaiqing, Hu Riliang, et al. A modified method of suppressing narrow-band interference using fast fourier transform power spectrum[J]. Proceedings of the CSEE, 2013, 33(12): 167-175.
[13] 李天云, 程思勇, 杨梅, 等. FFT与小波分析应用于抑制局部放电窄带干扰[J]. 高电压技术, 2007, 33(12): 71-74.
Li Tianyun, Cheng Siyong, Yang Mei, et al.Suppressing periodic narrowband noise in partial discharge (PD) signal using FFT and wavelet analysis[J]. High Voltage Engineering, 2007, 33(12): 71-74.
[14] 唐炬, 樊雷, 卓然, 等. 用最优谐波小波包变换抑制局部放电混频随机窄带干扰[J]. 中国电机工程学报, 2013, 33(31): 193-201.
Tang Ju, Fan Lei, Zhuo Ran, et al.Suppression of the random narrow-band noise with mixed frequencies in partial discharge with the optimal harmonic wavelet packet transform[J]. Proceedings of the CSEE, 2013, 33(31): 193-201.
[15] 高树国, 刘贺晨, 范辉, 等. 考虑波速特性的小波变换模极大值法的电力电缆局部放电定位研究[J]. 电网技术, 2016, 40(7): 2244-2250.
GaoShuguo, Liu Hechen, Fan Hui, et al. PD location method of power cable based on wavelet transform modulus maxima considering wave characteristics[J]. Power System Technology, 2016, 40(7): 2244-2250.
[16] Alvarez F, Ortego J, Garnacho F, et al.A clustering technique for partial discharge and noise sources identification in power cables by means of waveform parameters[J]. IEEE Transactions on Dielectrics and Electrical Insulation, 2016, 23(1): 469-481.
[17] 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, DuanWeirun, 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.
[18] 高宁, 朱德恒, 谈克雄. 变压器局部放电在线监测信号中的地磁干扰及抑制[J]. 高电压技术, 1999, 25(4): 23-27.
GaoNing, Zhu Deheng, Tan Kexiong. Electromagnetic interference and suppression in PD detecting of transformer[J]. High Voltage Engineering, 1999, 25(4): 23-27.
[19] 唐炬, 高丽, 谢颜斌, 等. 复小波包变换抑制PD 监测中周期性窄带干扰[J]. 高电压技术, 2008, 34(11): 2355-2361.
Tang Ju, Gao Li, XieYanbin, et al. Suppressing PD’s periodicity narrow band noise in the PD measurement by using complex wavelet packet transform[J]. High Voltage Engineering, 2008, 34(11): 2355-2361.
[20] Hyvarinen A.Fast and robust fixed-point algorithms for independent component analysis[J]. IEEE Transactions on Neural Networks, 1999, 10(3): 626-634.
[21] 王霞, 赵玲玲, 李飞敏. 牛顿方法的两个新格式[J].数学的实践与认识, 2007, 37(1): 72-76.
Wang Xia, Zhao Lingling, Li Feimin.Two new schemes of Newton’s interation method squares estimator is BLUE[J]. Mathematics in Practice and Theory, 2007, 37(1): 72-76.
[22] 周旭欣. 独立分量分析算法的计算机仿真及其在多导脑电信号处理中的应用[D]. 成都: 四川大学, 2005.
[23] 王杏. 带噪混叠语音信号盲分离方法研究[D]. 北京:北京交通大学, 2014.
[24] Peter W, Asghar A, Hossein B, et al.Enhance online PD evaluation on power transformers using wavelet techniques and frequency rejection filter for noise suppression[C]//IEEE International Symposium on Electrical Insulation, Germany, 2002, 4: 195-198.
[25] 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.
WanLi, 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.
[26] 张宇辉, 刘梦婕, 黄南天, 等. 频率切片小波变换在局部放电信号分析中的应用[J]. 高电压技术, 2015, 41(7): 2283-2293.
Zhang Yuhui, Liu Mengjie, Huang Nantian, et al.Application of frequency slice Wavelet transform in partial discharge signal analysis[J]. High Voltage Engineering, 2015, 41(7): 2283-2293.