DGA interpretation of oil filled transformer condition diagnosis

DGA is one of the most recent techniques developed to diagnose the fault condition on oil filled insulation transformers. There are more than 6 known different methods of DGA fault interpretation technique and so there is the likelihood that they may vary in their interpretations. A series of combin...

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Main Authors: Alghamdi, Ali Saeed, Muhamad, Nor Asiah, A. Suleiman, Abubakar
Format: Article
Published: 2012
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Online Access:http://eprints.utm.my/id/eprint/46813/
http://dx.doi.org/10.4313/TEEM.2012.13.5.229
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spelling my.utm.468132017-09-20T08:42:15Z http://eprints.utm.my/id/eprint/46813/ DGA interpretation of oil filled transformer condition diagnosis Alghamdi, Ali Saeed Muhamad, Nor Asiah A. Suleiman, Abubakar TK Electrical engineering. Electronics Nuclear engineering DGA is one of the most recent techniques developed to diagnose the fault condition on oil filled insulation transformers. There are more than 6 known different methods of DGA fault interpretation technique and so there is the likelihood that they may vary in their interpretations. A series of combined interpretation methods that can determine the power transformer condition faults in one assessment is therefore needed. This paper presents a computer program-based system developed to combine four DGA assessment techniques; Rogers Ratio Method, IEC Basic Ratio Method, Duval Triangle method and Key Gas Method. An easy to use Graphic User Interface was designed to give a visual display of the four techniques. The result shows that this assessment method can increase the accuracy of DGA methods by up to 20% and the no prediction result had been reduced down to 0%. 2012 Article PeerReviewed Alghamdi, Ali Saeed and Muhamad, Nor Asiah and A. Suleiman, Abubakar (2012) DGA interpretation of oil filled transformer condition diagnosis. Transactions on Electrical and Electronic Materials, 13 (5). pp. 229-232. ISSN 1229-7607 http://dx.doi.org/10.4313/TEEM.2012.13.5.229
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Alghamdi, Ali Saeed
Muhamad, Nor Asiah
A. Suleiman, Abubakar
DGA interpretation of oil filled transformer condition diagnosis
description DGA is one of the most recent techniques developed to diagnose the fault condition on oil filled insulation transformers. There are more than 6 known different methods of DGA fault interpretation technique and so there is the likelihood that they may vary in their interpretations. A series of combined interpretation methods that can determine the power transformer condition faults in one assessment is therefore needed. This paper presents a computer program-based system developed to combine four DGA assessment techniques; Rogers Ratio Method, IEC Basic Ratio Method, Duval Triangle method and Key Gas Method. An easy to use Graphic User Interface was designed to give a visual display of the four techniques. The result shows that this assessment method can increase the accuracy of DGA methods by up to 20% and the no prediction result had been reduced down to 0%.
format Article
author Alghamdi, Ali Saeed
Muhamad, Nor Asiah
A. Suleiman, Abubakar
author_facet Alghamdi, Ali Saeed
Muhamad, Nor Asiah
A. Suleiman, Abubakar
author_sort Alghamdi, Ali Saeed
title DGA interpretation of oil filled transformer condition diagnosis
title_short DGA interpretation of oil filled transformer condition diagnosis
title_full DGA interpretation of oil filled transformer condition diagnosis
title_fullStr DGA interpretation of oil filled transformer condition diagnosis
title_full_unstemmed DGA interpretation of oil filled transformer condition diagnosis
title_sort dga interpretation of oil filled transformer condition diagnosis
publishDate 2012
url http://eprints.utm.my/id/eprint/46813/
http://dx.doi.org/10.4313/TEEM.2012.13.5.229
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score 13.160551