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在線閱讀 --自然科學版 2020年6期《一種用于局部放電信號分析的維格納分布交叉項抑制方法》
一種用于局部放電信號分析的維格納分布交叉項抑制方法--[在線閱讀]
范佳興1, 范杰清2
1. 內蒙古電力(集團)有限責任公司 呼和浩特供電局, 內蒙古 呼和浩特 010000;
2. 華北電力大學 電氣與電子工程學院, 北京 102206
起止頁碼: 500--506頁
DOI: 10.13763/j.cnki.jhebnu.nse.2020.06.007
摘要
電力設備介質局部擊穿產生的放電信號是一種非平穩隨機信號.為獲得其時頻信息,提出了一種維格納分布交叉干擾項的抑制方法.該方法從維格納分布時頻平面截取數據段進行多項式擬合,根據擬合殘差定位交叉干擾項并用二值化數組加以抑制.仿真結果表明,所提出的改進方法在保持維格納分布自項的同時有效抑制了交叉干擾項,為局部放電信號的時頻域分析提供了一種有效方法.

A WVD's Cross-term Suppressing Method for Partial Discharge Signal Analysis
FAN Jiaxing1, FAN Jieqing2
1. Hohhot Power Supply Bureau, Inner Mongolia Power(Group) Company Ltd, Inner Mongolia Hohhot 010000, China;
2. School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
Abstract:
The partial discharge signal produced by partial breakdown of insulating medium is a kind of non-stationary random signal.To obtain the time-frequency domain information of partial discharge signal, a suppressing method for WVD(Wigner-Ville distribution) cross-term is proposed.Data segments of the WVD time-frequency plane were used for polynomial fitting.Fitting residual was used in locatingcross-terms which were suppressed by a binary array.The simulation results show this method not only reduces the interfering cross-terms but also preserves the auto-term of the WVD.The improved method is an effective way for partial discharge signal analyzing in time-frequency domain.

收稿日期: 2020-04-23
基金項目: 國家自然科學基金(U1730247,11571047,61372050)

參考文獻:
[1]王國利,郝艷捧,李彥明.油中典型局部放電模型放電波形特征參數的提取[J].電網技術,2001,25(10):34-37.doi:10.3321/j.issn.1000-3673.2001.10.008 WANG Guoli,HAO Yanpeng,LI Yanming.Pulse Current Parameter Evaluation of Typical Partial Discharge Models in Oil[J].Power System Technology,2001,25(10):34-37.
[2]王國利,郝艷捧,李彥明.基于自適應譜的局部放電信號時頻特性分析[J].西安交通大學學報,2001,35(8):790-794.doi:10.3321/j.issn.0253-987X.2001.08.005 WANG Guoli,HAO Yanpeng,LI Yanming.Time-frequency Analysis on Pulse Current of Partial Discharge by Adaptive Spectrogram[J].Journal of Xi'an Jiaotong University,2001,35(8):790-794.
[3]賈亞飛,朱永利,王劉旺.基于VMD和Wigner-Ville分布的局放信號時頻分析[J].系統仿真學報,2018,30(2):569-578.doi:10.16182/j.issn.1004731x.joss.201802025 JIA Yafei,ZHU Yongli,WANG Liuwang.Time-frequency Analysis of Partial Discharge Signal Based on VMD and Wigner-Ville Distribution[J].Journal of System Simulation,2018,30(2):569-578.
[4]程發斌,湯寶平,鐘佑明.利用ASTFT譜有效抑制WVD交叉項的方法[J].電子與信息學報,2008,30(10):2299-2302.doi:10.3724/SP.J.1146.2007.00483 CHENG Fabin,TANG Baoping,ZHONG Youming.A Method to Suppress Cross-terms of Wigner-Ville Distribution Using ASTFT Spectrum[J].Journal of Electronics & Information Technology,2008,30(10):2299-2302.
[5]袁鵬,司文榮,李軍浩,等.局部放電脈沖的Wigner時頻分布特性研究[J].高壓電器,2008,44(6):524-526.doi:10.13296/j.1001-1609.hva.2008.06.025 YUAN Peng,SI Wenrong,LI Junhao,et al.Time-frequency Characteristics of Partial Discharge Pulse with Wigner-Ville Distributions[J].High Voltage Apparatus,2008,44(6):524-526.
[6]蔡艷平,李艾華,李仁兵,等.基于經驗模態分解的WVD交叉項抑制法[J].計算機工程,2011,37(7):271-273.doi:10.3969/j.issn.1000-3428.2011.07.091 CAI Yanping,LI Aihua,LI Renbing,et al.WVD Cross-term Suppressing Method Based on Empirical Mode Decomposition[J].Computer Engineering,2011,37(7):271-273.
[7]牟偉杰,石林鎖,蔡艷平,等.基于EMD-WVD與LNMF的內燃機故障診斷[J].振動與沖擊,2016,35(23):191-202.doi:10.13465/j.cnki.jvs.2016.23.030 MU Weijie,SHI Linsuo,CAI Yanping,et al.IC Engine Fault Diagnosis Method Based EMD-WVD and LNMF[J].Journal of Vibration and Shock,2016,35(23):191-202.
[8]高憲軍,陳超,張杰,等.抑制維格納分布交叉干擾項的聯合算法[J].吉林大學學報(信息科學版),2009,27(2):127-132.doi:10.3969/j.issn.1671-5896.2009.02.004 GAO Xianjun,CHEN Chao,ZHANG Jie,et al.Amelioration Algorithm to Suppress the Cross-term Interference of WVD[J].Journal of Jilin University (Information Science),2009,27(2):127-132.
[9]關紅彥,肖偉,呂揚生.抑制維格納分布交叉項干擾的自譜窗方法[J].信號處理,2003,19(3):215-218.doi:10.3969/j.issn.1003-0530.2003.03.007 GUAN Hongyan,XIAO Wei,LYU Yangsheng.The Self-spectrum Window (SSW) Method of WVD's Interference-term Suppression[J].Signal Processing,2003,19(3):215-218.
[10]孔慧芳,陶文益,閆嘉鵬.基于FRFT的Wigner-Ville分布交叉項抑制方法[J].測控技術,2019(19):19-23.doi:10.19708/j.ckjs.2019.03.215 KONG Huifang,TAO Wenyi,YAN Jiapeng.Wigner-Ville Distribution Cross Terms Suppression Method Based on FRFT[J].Measurement & Control Technology,2019(19):19-23.
[11]張曉燕,彭真明,張萍,等.基于分數階Wigner-Ville分布的地震信號譜分析[J].石油地球物理勘探,2014,49(5):839-845.doi:10.13810/j.cnki.issn.1000-7210.2014.05.03 ZHANG Xiaoyan,PENG Zhenming,ZHANG Ping,et al.Spectral Decomposition of Seisimic Signal Based on Fractional Wigner-Ville Distribution[J].Oil Geophysical Prospecting,2014,49(5):839-845.
[12]張小乾,王凌,姚遠程,等.基于FRFT與WVD的旋轉LFM信號參數估計[J].通信技術,2012,12(45):33-36.doi:10.3969/j.issn.1002-0802.2012.12.011 ZHANG Xiaoqian,WANG Ling,YAO Yuancheng,et al.Rotated LFM Signal Parameter Estimation Based on FRFT and WVD[J].Communications Technology,2012,12(45):33-36.
[13]張永濤,賈延明.最小二乘法中代數多項式曲線擬合的分析及實現[J].計算機與數字工程,2017,45(4):637-654.doi:10.3969/j.issn.1672-9722.2017.04.009 ZHANG Yongtao,JIA Yanming.Analysis and Program Implementation of Least Squares Polynomial Curve Fitting[J].Computer & Digital Engineering,2017,45(4):637-654.
[14]陰國富.基于閾值法的圖像分割技術[J].現代電子技術,2007,262(23):107-108.doi:10.3969/j.issn.1004-373X.2007.23.039 YIN Guofu.Image Segmentation Technology Based on Thresholding[J].Modern Electronics Technique,2007,262(23):107-108.
[15]馬艷娥,陳思,陳娟,等.基于多幅圖像平均法對數字圖像降噪的研究[J].電子測試,2001,6:1-3.doi:10.3969/j.issn.1000-8519.2011.06.001 MA Yane,CHEN Si,CHEN Juan,et al.Study on Digital Image Noise Based on Many Images Average Method[J].Electronic Test,2001,6:1-3.
[16]唐炬,周倩,許中榮,等.GIS超高頻局放信號的數學建模[J].中國電機工程學報,2005,25(19):106-110.doi:10.3321/j.issn.0258-8013.2005.19.020 TANG Ju,ZHOU Qian,XU Zhongrong,et al.Establishment of Mathematical Model for Partial Discharge in GIS Using UHF Method[J].Proceedings of the CSEE,2005,25(19):106-110.
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