Adaptive multiple fault detection and alarm processing for loop system with probabilistic network

被引：35

作者：

Lin, WM ^{[1
]}

Lin, CH ^{[1
]}

Sun, ZC ^{[1
]}

机构：

[1] Natl Sun Yat Sen Univ, Dept Elect Engn, Kaohsiung 80424, Taiwan

来源：

IEEE TRANSACTIONS ON POWER DELIVERY | 2004年 / 19卷 / 01期

关键词：

adaptation capability; fault detection system; probabilistic neural network;

D O I：

10.1109/TPWRD.2003.820203

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：

This paper presents the fault detection and alarm processing in loop system with fault detection system (FDS). FDS consists of adaptive architecture with probabilistic neural network (PNN). Training PNN uses the primary/backup information of protective devices to create the training sets. However, when network topology changes, adaptation capability becomes important in neural network applications. PNN can be retained and estimated effectively. With a looped system, computer simulations were conducted to show the effectiveness of the proposed system, and PNN's adapt network topology changes.

引用

页码：64 / 69

页数：6

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