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基于粗糙集降维理论的GIS超高频局放包络模式识别方法

Qing LI,Da-peng DUAN,Wu-bin QIU,Kai-sui CAI,Ge-hao SHENG,Xing-quan HUANG,Xiu-chen JIANG

Gaoya Dianqi/High Voltage Apparatus（2012）

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Abstract
判断局部放电类型与局放包络信号之间的关系是实现评估气体绝缘金属封闭开关设备(GIS)的绝缘状态以及制定合理的维修策略的重要前提。笔者利用粗糙集降维理论,先对表征UHF PD包络信号的37个特征向量所组成的特征矩阵进行了离散化与差别矩阵约简,然后利用简约后的特征向量结合BP神经网络分类器,对4种不同类型的UHF PD包络信号进行了模式识别,结果表明此方法具有较高的识别率。
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Key words
BP neural network,Pattern recognition,PD type,Rough set reduction,UHF PD envelope signal
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