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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. Dissolved gas in oil analysis (DGA) is successful technique and provided wealth of diagnostic information to detect incipient faults in power transformer. This paper used two methods developed to interpret DGA results...

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Main Author: Romai Nor, Nur Afiqah
Format: Article
Language:English
Published: 2010
Subjects:
Fuzzy logic
TK Electrical engineering. Electronics. Nuclear engineering
Online Access:https://ir.uitm.edu.my/id/eprint/92935/2/92935.pdf
https://ir.uitm.edu.my/id/eprint/92935/
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spelling my.uitm.ir.929352024-04-23T09:29:55Z https://ir.uitm.edu.my/id/eprint/92935/ Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor Romai Nor, Nur Afiqah Fuzzy logic TK Electrical engineering. Electronics. Nuclear engineering Assessment of power transformer conditions is increasing concern in latest years. Dissolved gas in oil analysis (DGA) is successful technique and provided wealth of diagnostic information to detect incipient faults in power transformer. This paper used two methods developed to interpret DGA results which are Rogers Ratio and IEC Ratio. However, there are situations of errors and misleading results occurring due to borderline and multiple faults. Fuzzy logic is described and implemented as an improved DGA interpretation method that provides higher reliability and precision of fault diagnostics. 2010 Article NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/92935/2/92935.pdf Fuzzy logic application in DGA methods to classify type of faults in oil transformer / Nur Afiqah Romai Nor. (2010) pp. 1-6.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Fuzzy logic
TK Electrical engineering. Electronics. Nuclear engineering
spellingShingle Fuzzy logic
TK Electrical engineering. Electronics. Nuclear engineering
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. Dissolved gas in oil analysis (DGA) is successful technique and provided wealth of diagnostic information to detect incipient faults in power transformer. This paper used two methods developed to interpret DGA results which are Rogers Ratio and IEC Ratio. However, there are situations of errors and misleading results occurring due to borderline and multiple faults. Fuzzy logic is described and implemented as an improved DGA interpretation method that provides higher reliability and precision of fault diagnostics.
format Article
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
publishDate 2010
url https://ir.uitm.edu.my/id/eprint/92935/2/92935.pdf
https://ir.uitm.edu.my/id/eprint/92935/
_version_ 1797924918156853248
score 13.160551

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