| 基于双向二维最大间距准则的局部放电灰度图像特征提取 |
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| 引用本文： | 唐炬,魏钢,李伟,张晓星.基于双向二维最大间距准则的局部放电灰度图像特征提取[J].电网技术,2011(3):129-134. |
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| 作者姓名： | 唐炬 魏钢 李伟 张晓星 |
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| 作者单位： | 输配电装备及系统安全与新技术国家重点实验室(重庆大学);咸宁供电公司; |
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| 基金项目： | 国家重点基础研究发展计划项目(973项目)(2009CB-724506); 教育部全国优秀博士学位论文作者基金项目(200749)~~ |
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| 摘 要： | 针对高压交联聚乙烯电力电缆中间接头绝缘缺陷的辨识问题,提出一种局部放电灰度图像特征提取的双向二维最大间距准则方法,对获取的局部放电灰度图像从水平和垂直2个方向进行投影,得到了不同类别灰度图的鉴别矢量,选用最近邻分类器进行局部放电分类,以辨识电缆中间接头出现的不同绝缘缺陷。该方法解决了局部放电灰度图像特征提取维数大、识别样本少的难题。在对实验室4种典型电缆接头绝缘缺陷产生的PD信号进行对比辨识表明,其局部放电特征提取的速度和绝缘缺陷的识别率优于常用的主成分分析或Fisher鉴别分析方法。
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| 关 键 词： | XLPE电缆 局部放电灰度图像 最大间距准则 线性鉴别分析 二维鉴别分析 |
Partial Discharge Gray Image Feature Extraction Based on Bi-directional Two-Dimensional Maximum Margin Criterion |
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| TANG Ju,WEI Gang,LI Wei,ZHANG Xiaoxing,Shapingba District,Chongqing ,China,.Xianning Power Supply Company,Xianning ,Hubei Province,China.Partial Discharge Gray Image Feature Extraction Based on Bi-directional Two-Dimensional Maximum Margin Criterion[J].Power System Technology,2011(3):129-134. |
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| Authors: | TANG Ju WEI Gang LI Wei ZHANG Xiaoxing Shapingba District Chongqing China Xianning Power Supply Company Xianning Hubei Province China |
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| Affiliation: | TANG Ju1,WEI Gang1,LI Wei2,ZHANG Xiaoxing1(1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology(Chongqing University),Shapingba District,Chongqing 400044,China,2.Xianning Power Supply Company,Xianning 437100,Hubei Province,China) |
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| Abstract: | In allusion to the recognition of insulation defect in intermediate joint of XLPE cable,a novel method to extract the feature of partial discharge(PD) grey image based on bi-directional two-dimensional maximum margin criterion(MMC) is proposed.According to the proposed method,firstly based on MMC the obtained PD grey image is projected in two directions,i.e.,the horizontal direction and vertical direction,to extract discriminating vectors for different kinds of grey images,then the nearest neighbor classifi... |
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| Keywords: | XLPE cable partial discharge gray image maximum margin criterion(MMC) linear discriminant analysis two-dimensional discriminant analysis |
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