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Design of neural networks for fault diagnosis of a distribution system

The application of a hierarchical distributed neural network to fault diagnosis of a distribution system is presented. The artificial neural network (ANN) design has been developed by considering the structure and functions of the distribution system. Three hierarchical distributed ANN modules ar...

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Main Authors: Azah Mohamed,, Mohammad Didarul Alarn Mazumder,
Format: Article
Published: 1997
Online Access:http://journalarticle.ukm.my/1330/
http://www.ukm.my/jkukm/index.php/jkukm
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spelling my-ukm.journal.13302011-10-11T03:45:29Z http://journalarticle.ukm.my/1330/ Design of neural networks for fault diagnosis of a distribution system Azah Mohamed, Mohammad Didarul Alarn Mazumder, The application of a hierarchical distributed neural network to fault diagnosis of a distribution system is presented. The artificial neural network (ANN) design has been developed by considering the structure and functions of the distribution system. Three hierarchical distributed ANN modules are considered for the fault diagnosis of the distribution system. The proposed diagnosis system has been designed for a practical Tenaga Nasional Berhad (TNB) distribution system. In the ANN training process, the data sets are generated using the logic operation of relays and circuit breakers corresponding to the respective fault location for cases of single and multiple faults. The simulation results show that the proposed method using ANNs is encouraging and that the method can be in an on-line environment 1997 Article PeerReviewed Azah Mohamed, and Mohammad Didarul Alarn Mazumder, (1997) Design of neural networks for fault diagnosis of a distribution system. Jurnal Kejuruteraan, 9 . http://www.ukm.my/jkukm/index.php/jkukm
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
description The application of a hierarchical distributed neural network to fault diagnosis of a distribution system is presented. The artificial neural network (ANN) design has been developed by considering the structure and functions of the distribution system. Three hierarchical distributed ANN modules are considered for the fault diagnosis of the distribution system. The proposed diagnosis system has been designed for a practical Tenaga Nasional Berhad (TNB) distribution system. In the ANN training process, the data sets are generated using the logic operation of relays and circuit breakers corresponding to the respective fault location for cases of single and multiple faults. The simulation results show that the proposed method using ANNs is encouraging and that the method can be in an on-line environment
format Article
author Azah Mohamed,
Mohammad Didarul Alarn Mazumder,
spellingShingle Azah Mohamed,
Mohammad Didarul Alarn Mazumder,
Design of neural networks for fault diagnosis of a distribution system
author_facet Azah Mohamed,
Mohammad Didarul Alarn Mazumder,
author_sort Azah Mohamed,
title Design of neural networks for fault diagnosis of a distribution system
title_short Design of neural networks for fault diagnosis of a distribution system
title_full Design of neural networks for fault diagnosis of a distribution system
title_fullStr Design of neural networks for fault diagnosis of a distribution system
title_full_unstemmed Design of neural networks for fault diagnosis of a distribution system
title_sort design of neural networks for fault diagnosis of a distribution system
publishDate 1997
url http://journalarticle.ukm.my/1330/
http://www.ukm.my/jkukm/index.php/jkukm
_version_ 1643734988521209856
score 13.211869

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