Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor

Assessment of power transformer conditions is increasing concern in latest years. Failure of transformer can cause high installation cost and utility will lost. Dissolved gas-in-oil analysis (DGA) is successful technique and provided wealth of diagnosis information to detect incipient faults in oil...

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Main Author:	Romai Nor, Nur Afiqah
Format:	Thesis
Language:	English
Published:	2010
Subjects:	Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/84655/1/84655.pdf
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id	my-uitm-ir.84655
record_format	uketd_dc
spelling	my-uitm-ir.846552024-04-23T02:31:47Z Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor 2010 Romai Nor, Nur Afiqah Fuzzy logic TK Electrical engineering. Electronics. Nuclear engineering Assessment of power transformer conditions is increasing concern in latest years. Failure of transformer can cause high installation cost and utility will lost. Dissolved gas-in-oil analysis (DGA) is successful technique and provided wealth of diagnosis information to detect incipient faults in oil transformer. The fault gases that considered for evaluation are hydrogen, methane, ethane, ethylene and acetylene. There are various methods developed to . do the inspection of the fault type from the DGA data but only two methods are used in this study which is Roger's Ratio and IEC Ratio. However, there are situations of errors and misleading results occurring due to borderline and multiple faults. This is because the relation between different gases become too complete and cannot match with the actual fault. In order to solve the problem, this study proposes Fuzzy Logic to efficiently classify fault type in oil transformer based on its higher reliability and precision of fault diagnostics. Fuzzy Logic engine is developed using MATLAB to evaluate each DGA method. 2010 Thesis https://ir.uitm.edu.my/id/eprint/84655/ https://ir.uitm.edu.my/id/eprint/84655/1/84655.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Musirin, Ismail
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Musirin, Ismail
topic	Fuzzy logic Fuzzy logic
spellingShingle	Fuzzy logic Fuzzy logic Romai Nor, Nur Afiqah Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor
description	Assessment of power transformer conditions is increasing concern in latest years. Failure of transformer can cause high installation cost and utility will lost. Dissolved gas-in-oil analysis (DGA) is successful technique and provided wealth of diagnosis information to detect incipient faults in oil transformer. The fault gases that considered for evaluation are hydrogen, methane, ethane, ethylene and acetylene. There are various methods developed to . do the inspection of the fault type from the DGA data but only two methods are used in this study which is Roger's Ratio and IEC Ratio. However, there are situations of errors and misleading results occurring due to borderline and multiple faults. This is because the relation between different gases become too complete and cannot match with the actual fault. In order to solve the problem, this study proposes Fuzzy Logic to efficiently classify fault type in oil transformer based on its higher reliability and precision of fault diagnostics. Fuzzy Logic engine is developed using MATLAB to evaluate each DGA method.
format	Thesis
qualification_level	Bachelor degree
author	Romai Nor, Nur Afiqah
author_facet	Romai Nor, Nur Afiqah
author_sort	Romai Nor, Nur Afiqah
title	Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor
title_short	Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor
title_full	Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor
title_fullStr	Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor
title_full_unstemmed	Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor
title_sort	fuzzy logic application in dga methods to classify type of faults in oil transformer / nur afiqah romai nor
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2010
url	https://ir.uitm.edu.my/id/eprint/84655/1/84655.pdf
_version_	1804889731613327360

Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor

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