变压器局部放电故障测向的复倒谱去混响方法
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摘要
变压器绝缘劣化是导致局部放电的主要原因,研究局部放电精确测向,对整个电网的安全运行具有很重要的工程意义。由于变压器的结构比较复杂,发生局部放电时,光纤超声传感器阵列接收到的局部放电信号包含通过油箱壁、铁芯、绕组等介质平面反射散射的局部放电信号,对局部放电点测向造成很大误差。研究了最小相位分解法去混响算法,并基于研制的阵列进行油中局部放电测向实验,采用多重信号分类(multiple signal classification,MUSIC)算法计算放电源的波达方向(direction of arrival,DOA)。实验结果表明最小相位分解法去混响能有效抑制局部放电信号中的部分混响,去混响后的测向精度有明显改善。
Transformer insulation deterioration is the main cause of partial discharge. It is of great engineering significance to study the accurate direction finding of partial discharge for the safe operation of the whole power grid. Because of the complex structure of transformer,when partial discharge occurs,the partial discharge signal received by optical fiber ultrasonic sensor array includes the reflected and scattered partial discharge signal through the oil tank wall,iron core,winding and other dielectric plane,which causes great error in direction finding of partial discharge point. The minimum phase decomposition de-reverberation algorithm is studied,and the direction finding experiment of partial discharge in oil is carried out based on the developed array. The direction of arrival( DOA) of discharge source is calculated by multiple signal classification( MUSIC) algorithm. The experimental results show that the minimum phase decomposition method can effectively suppress the reverberation part of the partial discharge signal and improve the direction finding accuracy after the reverberation removal.
Transformer insulation deterioration is the main cause of partial discharge. It is of great engineering significance to study the accurate direction finding of partial discharge for the safe operation of the whole power grid. Because of the complex structure of transformer,when partial discharge occurs,the partial discharge signal received by optical fiber ultrasonic sensor array includes the reflected and scattered partial discharge signal through the oil tank wall,iron core,winding and other dielectric plane,which causes great error in direction finding of partial discharge point. The minimum phase decomposition de-reverberation algorithm is studied,and the direction finding experiment of partial discharge in oil is carried out based on the developed array. The direction of arrival( DOA) of discharge source is calculated by multiple signal classification( MUSIC) algorithm. The experimental results show that the minimum phase decomposition method can effectively suppress the reverberation part of the partial discharge signal and improve the direction finding accuracy after the reverberation removal.
引文
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16何子述,黄振兴,向敬成.修正MUSIC算法对相关信号源的DOA估计性能[J].通信学报,2000,21(10):14-17He Zishu,Huang Zhenxing,Xiang Jingcheng.The performance of DOA estimation for correlated signals by modified MUSIC algorithm[J].Journal of China Institute of Communications,2000,21(10):14-17
17刘云,李志舜.基于修正MUSIC算法的宽带相干源波达方向估计[J].西北工业大学学报,2003,21(4):457-460Liu Yun,Li Zhishun.A new method for estimating DOA(direction of arrival)of wideband coherent sources[J].Journal of Northwestern Polytechnical University,2003,21(4):457-460
18张小飞,陈华伟,仇小锋.阵列信号处理及MATLAB实现[M].北京:电子工业出版社,2015:329-374Zhang Xiaofei,Chen Huawei,Qiu Xiaofeng.Array signal processing and MATLAB implementation[M].Beijing:Electronic Industry Press,2015:329-374
19张德会,陈光冶.一种基于维纳滤波去除语音通信中混响的方法[J].上海交通大学学报,2009,43(6):949-952Zhang Dehui,Chen Guangzhi.A means based on Wiener filtering for dereverberation in speech communication[J].Journal of Shanghai Jiao Tong University,2009,43(6):949-952
2 Si W R,Li J H,Li D J,et al.Investigation of a comprehensive identification method used in acoustic detection system for GIS[J].IEEETransactions on Dielectrics&Electrical Insulation,2010,17(3):721-732
3 Sikorski W,Siodla K,Moranda H,et al.Location of partial discharge sources in power transformers based on advanced auscultatory technique[J].IEEE Transactions on Dielectrics&Electrical Insulation,2012,19(6):1948-1956
4 Olivieri A,Mannheimer A,Ripper-Neto P.On the use of acoustic signals for detection and location of partial discharges in power transformers[C]//Conference Record of the IEEE International Symposium on Electrical Insulation.Anaheim:IEEE,2000:259-262
5苏先礼.语音去混响研究[D].成都:四川大学,2006Su Xianli.The research on speech dereverberation[D].Chengdu:Sichuan University,2006
6 Liu Q G,Champagne B,Kabal P.A microphone array processing technique for speech enhancement in a reverberant space[J].Speech Communication,1996,18(4):317-334
7 Liu Q G,Champagne B,Kabal P.Room speech dereverberation via minimum-phase and all-pass component processing of multi-microphone signals[C]//IEEE Pacific RIM Conference on Communications,Computers,&Signal Processing.Victoria:IEEE,1995:571-574
8马明宇.语音信号的混响消减技术研究[D].成都:西南交通大学,2014Ma Mingyu.The research on speech signal dereverberation technology[D].Chengdu:Southwest Jiaotong University,2014
9吴佳栋,陈光冶.语音信号去混响原理与技术[J].语音技术,2006(5):63-67Wu Jiadong,Chen Guangzhi.Principle and technologies of speech signal dereverbration[J].Voice Technology,2006(5):63-67
10 Cole D,Moody M,Sridharan S.Intelligibility of reverberant speech enhanced by inversion of room response[C]//Proceedings of ICSIPNN'94.International Conference on Speech,Image Processing and Neural Networks.Hong Kong:IEEE,1994:241-244
11吕亮,辛晓虎,黄国强,等.用于油中局部放电定位可重复布置的超声阵列与超高频复合传感器设计[J].高电压技术,2014,40(8):2328-2334LüLiang,Xin Xiaohu,Huang Guoqiang,et al.Design of re-locatable ultrasonic array and ultra high frequency combined sensor for partial discharge location in oil[J].High Voltage Engineering,2014,40(8):2328-2334
12罗日成,李卫国,李成榕.基于阵列信号处理的变压器内局部放电源多目标定位方法[J].电网技术,2006,30(1):65-69Luo Richeng,Li Weiguo,Li Chengrong.A multi-target method to locate internal partial discharge sources within transformer based on array signal processing[J].Power System Technology,2006,30(1):65-69
13 Xie Q,Cheng S Y,LüF C,et al.Location of partial discharge in transformer oil using circular array of ultrasonic sensors[J].IEEETransactions on Dielectrics&Electrical Insulation,2013,20(5):1683-1690
14辛晓虎,罗勇芬,杜非,等.用于油中局部放电定位的超声波接收阵列的定向算法比较[J].中国电机工程学报,2015,35(20):5351-5359Xin Xiaohu,Luo Yongfen,Du Fei,et al.Comparisons of direction of arrival algorithms applied to ultrasonic arrays for partial discharge location in oil[J].Proceedings of the CSEE,2015,35(20):5351-5359
15王永良,陈辉,彭应宁,等.空间谱估计理论与算法[M].北京:清华大学出版社,2004:253-273Wang Yongliang,Chen Hui,Peng Yingning,et al.The theory and algorithm of spatial spectrum estimation[M].Beijing:Tsinghua University Press,2004:253-273
16何子述,黄振兴,向敬成.修正MUSIC算法对相关信号源的DOA估计性能[J].通信学报,2000,21(10):14-17He Zishu,Huang Zhenxing,Xiang Jingcheng.The performance of DOA estimation for correlated signals by modified MUSIC algorithm[J].Journal of China Institute of Communications,2000,21(10):14-17
17刘云,李志舜.基于修正MUSIC算法的宽带相干源波达方向估计[J].西北工业大学学报,2003,21(4):457-460Liu Yun,Li Zhishun.A new method for estimating DOA(direction of arrival)of wideband coherent sources[J].Journal of Northwestern Polytechnical University,2003,21(4):457-460
18张小飞,陈华伟,仇小锋.阵列信号处理及MATLAB实现[M].北京:电子工业出版社,2015:329-374Zhang Xiaofei,Chen Huawei,Qiu Xiaofeng.Array signal processing and MATLAB implementation[M].Beijing:Electronic Industry Press,2015:329-374
19张德会,陈光冶.一种基于维纳滤波去除语音通信中混响的方法[J].上海交通大学学报,2009,43(6):949-952Zhang Dehui,Chen Guangzhi.A means based on Wiener filtering for dereverberation in speech communication[J].Journal of Shanghai Jiao Tong University,2009,43(6):949-952