A comprehensive analysis of an artificial neural-network-based fault direction discriminator

A comprehensive analysis of an artificial neural-network-based fault direction discriminator

This paper presents a comprehensive analysis of an artificial neural network based fault direction discriminator. Individual outputs of neurons are investigated. A new technique based on backtracking search procedure is developed for analyzing the multilayer feedforward neural networks. The techniqu...

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Veröffentlicht in:IEEE transactions on power delivery 2004-07, Vol.19 (3), p.1042-1048
Hauptverfasser: Sidhu, T.S., Mital, L., Sachdev, M.S.
Format: Artikel
Sprache:eng
Schlagworte:
Artificial neural networks
Feedforward neural networks
Multi-layer neural network
Neural networks
Neurons
Power engineering and energy
Power system protection
Power system relaying
Protective relaying
Systems engineering and theory
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Beschreibung
Zusammenfassung:This paper presents a comprehensive analysis of an artificial neural network based fault direction discriminator. Individual outputs of neurons are investigated. A new technique based on backtracking search procedure is developed for analyzing the multilayer feedforward neural networks. The technique is applied to the fault direction discriminator's individual neurons. Results and conclusions of this application are presented.
ISSN:0885-8977
1937-4208
DOI:10.1109/TPWRD.2004.829118