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基于特征矩阵和决策树的GIS电压互感器击穿放电故障识别

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提出基于特征矩阵和决策树的GIS电压互感器击穿放电故障识别方法.提取GIS电压互感器击穿放电故障的气体特征并构建特征矩阵,基于ID3算法生成决策树来对特征矩阵进行分类,从而识别不同的GIS电压互感器击穿放电故障类型.在实验中,应用所提出的方法获得了95.8%的GAS-VT击穿放电故障识别精度.
Feature Matrix and Decision Tree-based Identification of Disruptive Discharge Faults of GIS Voltage Transformers
The present work made a preliminary attempt to explore the use of feature matrix and decision tree in the iden-tification of disruptive discharge faults with respect to GIS voltage transformers.The method was designed to extract the gas characteristics of GIS voltage transformer encountering disruptive discharge fault for the construction of feature matri-ces,and to generate a decision tree using the ID3 algorithm for the classification of the feature matrices,so as to realize fault identification.The proposed method achieved in the experiment an identification accuracy of 95.8% for the GAS-VT disruptive discharge fault.

feature matrixdecision treeGIS voltage transformerdisruptive dischargefault identification

李淑梅、满林林、孙毅

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山东电工电气日立高压开关有限公司,山东 济南 250001

特征矩阵 决策树 GIS电压互感器 击穿放电 故障识别

2024

电工技术
重庆西南信息有限公司(原科技部西南信息中心)

电工技术

影响因子:0.177
ISSN:1002-1388
年,卷(期):2024.(20)