%0 Journal Article
%T Intelligent Fault Diagnosis in Power Transformer with Using Dissolved Gas Analysis in different Standards by Fuzzy Logic
%A AmirHoseyn Zaeri
%A Rahmat Houshmand
%A Mohammad Kafi
%J Majlesi Journal of Electrical Engineering
%D 2007
%I Islamic Azad University- Majlesi
%R 10.1234/mjee.v1i2.25
%X 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 ˇ°no decisionˇ± 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.
%K Transformer fault diagnosis
%K Dissolved Gas Analysis (D.G.A)
%K Fuzzy logic.
%U http://ee.majlesi.info/index/index.php/ee/article/view/25