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Intelligent Fault Diagnosis in Power Transformer with Using Dissolved Gas Analysis in different Standards by Fuzzy Logic

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Author(s): AmirHoseyn Zaeri | Rahmat Houshmand | Mohammad Kafi

Journal: Majlesi Journal of Electrical Engineering
ISSN 2008-1413

Volume: 1;
Issue: 2;
Start page: 33;
Date: 2007;
Original page

Keywords: Transformer fault diagnosis | Dissolved Gas Analysis (D.G.A) | Fuzzy logic.

ABSTRACT
The power electric transformer fault diagnosis is based on dissolved gas-in-oil analysis (DGA). the conventional fault diagnosis methods, i.e. the ratio methods (Rogers, Dornenburg and IEC) and the key gas method, have limitations such as the “no decision” problem. Various artificial intelligence techniques may help solve the problems and present a better solution. In this paper present a fuzzy systems to fault diagnosis in power electric transformer by dissolved we gas analysis.
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