Using Bayesian network for fault location on distribution feeder

被引：95

作者：

Chien, CF ^{[1
]}

Chen, SL

Lin, YS

机构：

[1] Natl Tsing Hua Univ, Dept Ind Engn & Engn Management, Hsinchu, Taiwan

[2] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu, Taiwan

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2002年 / 17卷 / 03期

关键词：

Bayesian network; detection; expert system; fault location; power delivery; Taiwan Power Company (TPC);

D O I：

10.1109/TPWRD.2002.1022804

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Bayesian network is a probabilistic graphical model in which a problem is structured as a set of variables (parameters) and probabilistic relationships among them. The Bayesian network has been effectively used to incorporate expert knowledge and historical data for revising the prior belief in the light of new evidence in many fields. However, little research has been done to apply Bayesian network for fault location in power delivery system. We construct a Bayesian network on the basis of expert knowledge and historical data for fault diagnosis on distribution feeder in Taiwan. The experimental results validate the practical viability of the proposed approach.

引用

页码：785 / 793

页数：9

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