Adaptive multiple fault detection and alarm processing with probabilistic network

Author

Lin, Whei-Min ; Lin, Chia-Hung ; Sun, Zheng-Chi ; Tsao, Ming-Chieh

Author_Institution

Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan

Volume

2

fYear

2004

fDate

5-8 April 2004

Firstpage

789

Abstract

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

Keywords

adaptive systems; digital simulation; fault diagnosis; network topology; neural nets; power system analysis computing; power system faults; power system protection; probability; adaptation capability; adaptive architecture; alarm processing; computer simulations; fault detection system; network topology; probabilistic neural network; protective devices; Artificial neural networks; Circuit faults; Computer architecture; Computer simulation; Electrical fault detection; Fault detection; Fault diagnosis; Network topology; Neural networks; Power system faults;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Utility Deregulation, Restructuring and Power Technologies, 2004. (DRPT 2004). Proceedings of the 2004 IEEE International Conference on

Print_ISBN

0-7803-8237-4

Type

conf

DOI

10.1109/DRPT.2004.1338090

Filename

1338090