Artificial intelligence based technique for single line to ground fault identification and arc extinguishment

Single line-to-ground fault (SLGF) is the most common fault in the distribution network of the power system (PS). The disadvantage of this fault is to cause residual current (

Saved in:

Bibliographic Details
Main Author:	Jabbar, Feryal Ibrahim
Format:	Thesis
Language:	English English English
Published:	2023
Subjects:	T Technology (General)
Online Access:	http://eprints.uthm.edu.my/10833/1/24p%20FERYAL%20IBRAHIM%20JABBAR.pdf http://eprints.uthm.edu.my/10833/2/FERYAL%20IBRAHIM%20JABBAR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10833/3/FERYAL%20IBRAHIM%20JABBAR%20WATERMARK.pdf http://eprints.uthm.edu.my/10833/
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Universiti Tun Hussein Onn Malaysia
Language:	English English English

id	my.uthm.eprints.10833
record_format	eprints
spelling	my.uthm.eprints.108332024-05-13T07:06:15Z http://eprints.uthm.edu.my/10833/ Artificial intelligence based technique for single line to ground fault identification and arc extinguishment Jabbar, Feryal Ibrahim T Technology (General) Single line-to-ground fault (SLGF) is the most common fault in the distribution network of the power system (PS). The disadvantage of this fault is to cause residual current ( 2023-03 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/10833/1/24p%20FERYAL%20IBRAHIM%20JABBAR.pdf text en http://eprints.uthm.edu.my/10833/2/FERYAL%20IBRAHIM%20JABBAR%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/10833/3/FERYAL%20IBRAHIM%20JABBAR%20WATERMARK.pdf Jabbar, Feryal Ibrahim (2023) Artificial intelligence based technique for single line to ground fault identification and arc extinguishment. Doctoral thesis, Universiti Tun Hussein Onn Malaysia.
institution	Universiti Tun Hussein Onn Malaysia
building	UTHM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tun Hussein Onn Malaysia
content_source	UTHM Institutional Repository
url_provider	http://eprints.uthm.edu.my/
language	English English English
topic	T Technology (General)
spellingShingle	T Technology (General) Jabbar, Feryal Ibrahim Artificial intelligence based technique for single line to ground fault identification and arc extinguishment
description	Single line-to-ground fault (SLGF) is the most common fault in the distribution network of the power system (PS). The disadvantage of this fault is to cause residual current (
format	Thesis
author	Jabbar, Feryal Ibrahim
author_facet	Jabbar, Feryal Ibrahim
author_sort	Jabbar, Feryal Ibrahim
title	Artificial intelligence based technique for single line to ground fault identification and arc extinguishment
title_short	Artificial intelligence based technique for single line to ground fault identification and arc extinguishment
title_full	Artificial intelligence based technique for single line to ground fault identification and arc extinguishment
title_fullStr	Artificial intelligence based technique for single line to ground fault identification and arc extinguishment
title_full_unstemmed	Artificial intelligence based technique for single line to ground fault identification and arc extinguishment
title_sort	artificial intelligence based technique for single line to ground fault identification and arc extinguishment
publishDate	2023
url	http://eprints.uthm.edu.my/10833/1/24p%20FERYAL%20IBRAHIM%20JABBAR.pdf http://eprints.uthm.edu.my/10833/2/FERYAL%20IBRAHIM%20JABBAR%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/10833/3/FERYAL%20IBRAHIM%20JABBAR%20WATERMARK.pdf http://eprints.uthm.edu.my/10833/
_version_	1800094615701815296

Artificial intelligence based technique for single line to ground fault identification and arc extinguishment

Similar Items