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://journalarticle.ukm.my/1330/

id	ukm-1330
recordtype	eprints
spelling	ukm-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
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
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://journalarticle.ukm.my/1330/
first_indexed	2023-09-18T19:33:03Z
last_indexed	2023-09-18T19:33:03Z
_version_	1777405089475985408

Design of neural networks for fault diagnosis of a distribution system

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