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                1. [1]張藝還,王旭紅,郭良,等.基于歸一化自相關函數與類小波軟阈值法的GIS局放信號降噪方法研究[J].高壓電器,2018,54(03):17-24.[doi:10.13296/j.1001-1609.hva.2018.03.003]
                   ZHANG Yihuan,WANG Xuhong,GUO Liang,et al.Partial Discharge Detection for GIS Based on Normalized Autocorrelation Function and Similar Wavelet Soft Threshold[J].High Voltage Apparatus,2018,54(03):17-24.[doi:10.13296/j.1001-1609.hva.2018.03.003]
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                  基于歸一化自相關函數與類小波軟阈值法的GIS局放信號降噪方法研究()
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                  《高壓電器》[ISSN:1001-1609/CN:61-11271/TM]

                  卷:
                  第54卷
                  期數:
                  2018年03期
                  頁碼:
                  17-24
                  欄目:
                  研究與分析
                  出版日期:
                  2018-03-15

                  文章信息/Info

                  Title:
                  Partial Discharge Detection for GIS Based on Normalized Autocorrelation Function and Similar Wavelet Soft Threshold
                  作者:
                  張藝還1王旭紅1郭良2張紹海1
                  1. 長沙理工大學電氣與信息工程學院, 長沙 410114; 2. 湖南大學電氣與信息工程學院, 長沙 410082
                  Author(s):
                  ZHANG Yihuan1 WANG Xuhong1 GUO Liang2 ZHANG Shaohai1
                  1. Changsha University of Science and Technology, College of Electrical and Information Engineering, Changsha 410114,China; 2. Hunan University, College of Electrical and Information Engineering, Changsha 410082, China
                  關鍵詞:
                  局部放電 EMD分解 歸一化自相關函數 類小波軟阈值 特高頻信號
                  Keywords:
                  partial discharge empirical mode decomposition normalized autocorrelation function similar wavelet soft threshold ultra-high frequency signal
                  DOI:
                  10.13296/j.1001-1609.hva.2018.03.003
                  文獻標志碼:
                  A
                  摘要:
                  針對目前利用特高頻方法檢測GIS典型缺陷時,存在白噪聲幹擾濾除效率低以及原始信號波形畸變率高等問題,構建了GIS特高頻局部放電檢測試驗模型,經人工處理獲得4種典型局部放電UHF信號,提出采用EMD分解將4種典型缺陷的特高頻信號分解爲有限個IMF分量,利用歸一化自相關函數找到IMF分量中局部放電信號與白噪聲的分界點,對含白噪聲的IMF分量使用類小波軟阈值進行濾波,隨後重構所有IMF分量,得到各缺陷局部放電特高頻信號。將文中方法所得信號與小波去噪信號進行信噪比以及波形畸變率對比,結果表明文中所用方法具有更爲良好的去噪效果,可用于GIS局部放電監測。
                  Abstract:
                  Four typical defects are made in GIS,the UHF partial discharge signals of these defects are acquired,and a denoising method for these UHF PD signals is proposed. The empirical mode decomposition(EMD) is used to decompose the UHF PD signals of the four defects into a finite number of the intrinsic mode function(IMF) components,the cut-off point between the PD signal and the white noise in the IMF component is determined by using the normalized autocorrelation function,and the IMF component with white noise is filtered by using the wavelet soft threshold. Then,all the IMF components are reconstructed to obtain the partial discharge signals. Compared with the wavelet denoising method,the proposed method obtains the UHF PD signals with higher signal-to-noise ratio and slighter waveform distortion.

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                  備注/Memo

                  備注/Memo:
                  收稿日期:2017- 09- 11; 修回日期:2017 - 11 - 25   基金項目:湖南省科技計劃項目(2015GK3018);湖南省高校創新平台開放基金項目(14K001)。   Project Supported by Scientific and Technological Projects in Hunan Province(2015GK3018),the Open Fund Project of the Innovation Platform of Hunan Province’s Colleges and Universities(14K001).張藝還(1993—),女,碩士研究生,從事電氣高壓設備故障診斷方面的研究工作。 張藝還(1993—),女,碩士研究生,從事電氣高壓設備故障診斷方面的研究工作。障診斷方面的研究工作。 郭 良(1990—),男,研究生,電氣工程。 張邵海(1991—),男,研究生,控制科學與工程。
                  更新日期/Last Update: 2018-02-25