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基于多变量决策树与粗糙集的配电网故障诊断
引用本文:郭飞,相中华,陈炳华. 基于多变量决策树与粗糙集的配电网故障诊断[J]. 低压电器, 2009, 0(21): 44-47
作者姓名:郭飞  相中华  陈炳华
作者单位:1. 宁夏电力公司,超高压电网运行分公司,宁夏,银川,750011
2. 广西大学,电气工程学院,广西,南宁,530004
3. 国网运行有限公司,三门峡超高压管理处,河南,三门峡,472000
摘    要:采用多变量决策树方法对配电网故障进行分类;运用粗糙集理论对故障特征进行提取,构造了多变量决策树;利用粗糙集具有较强的处理不确定和不完备信息的能力,对决策表的条件属性进行约简处理;同时,利用决策树具有快速学习及分类的优势对约简后的决策表进行诊断规则提取。最后用实际的配电网模型对该方法进行了验证。

关 键 词:配电网  故障定位  粗糙集  决策树

Fault Diagnosis of Distribution Network Based on Mutivariable Decision Tree & Roughness Set
GUO Fei,XIANG Zhonghua,CHEN Binghua. Fault Diagnosis of Distribution Network Based on Mutivariable Decision Tree & Roughness Set[J]. Low Voltage Apparatus, 2009, 0(21): 44-47
Authors:GUO Fei  XIANG Zhonghua  CHEN Binghua
Affiliation:GUO Fei1,XIANG Zhonghua2,CHEN Binghua3(1.EHV Grid Operation Branch,Ningxia Electrical Power Company,Yinchuan 750011,China,2.College of Electric Engineering,Guangxi University,Nanning 530004,3.Sanmenxia EHV Operation Branch,State Grid Operation Company,Sanmenxia,472000,China)
Abstract:With the topliss decision approach,the stoppages in distribution network was classified,then the characteristics of the stoppages by rough set theory was collected,and the multivariable decision tree was constructed.Rough sets have the great ability of dealing with indefinite and incomplete information,so reduction disposal of the condition properties in the decision tables with rough sets was done,and then the diagnosis regulation after reduction disposal can be collected easily by decision tree which is f...
Keywords:distribution network  fault location  roughness set  decision tree  
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