首页 | 本学科首页   官方微博 | 高级检索  
     

基于S变换局部奇异值分解的过电压特征提取
引用本文:杜林,戴斌,陆国俊,孙才新,王有元.基于S变换局部奇异值分解的过电压特征提取[J].电工技术学报,2010(12).
作者姓名:杜林  戴斌  陆国俊  孙才新  王有元
作者单位:重庆大学输配电装备及系统安全与新技术国家重点实验室;广州供电局;
基金项目:国家重点基础研究发展计划(973计划)(2009CB724504); 重庆市科技攻关计划(CSTC2010AC3051)资助项目
摘    要:针对实测过电压信号波形不规则、不易识别问题,根据矩阵奇异值的特点,提出了一种采用S变换和局部奇异值分解的过电压特征提取方法。首先通过S变换得到过电压发生时零序电压的时频模值矩阵,然后对矩阵进行划分,计算各个子矩阵的最大奇异值,利用最大奇异值在不同频带以及整个时频空间的分布差异来构造过电压特征量。对变电站实测的感应雷过电压等五种过电压信号的计算表明,所提取的特征量维数低,对过电压信号随机扰动具有相对稳定性,能提取出过电压的本质特征。

关 键 词:过电压  特征提取  S变换  奇异值分解  局部奇异值特征  

Overvoltage Features Extraction Based on S Transform and Local Singular Value Decomposition
Du Lin Dai Bin Lu Guojun Sun Caixin Wang Youyuan.Overvoltage Features Extraction Based on S Transform and Local Singular Value Decomposition[J].Transactions of China Electrotechnical Society,2010(12).
Authors:Du Lin Dai Bin Lu Guojun Sun Caixin Wang Youyuan
Affiliation:Du Lin1 Dai Bin1 Lu Guojun2 Sun Caixin1 Wang Youyuan1(1.State Key Laboratory of Power Transmission Equipment & System Security , New Technology Chongqing University Chongqing 400044 China 2.Guangzhou Power Supply Bureau Guangzhou 510410 China)
Abstract:A new algorithm to extract overvoltage features as identification parameters is proposed with consideration of the irregularity of field acquired overvoltage.According to this algorithm,the time-frequency matrix of zero sequence voltage,which is obtained by S transform,is divided into submatrixs.Then,by calculating the maximum singular value of each submatrixs,the overvoltage features is constructed by utilizing the singular value difference between different frequency band or the whole time-frequency space...
Keywords:Overvoltage  extract feature  S transform  singular value decomposition  local singular value feature  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号