OICC Press Majlesi Journal of Electrical Engineering 2345-3796 1 2 2024 02 28 Intelligent Fault Diagnosis in Power Transformer with Using Dissolved Gas Analysis in different Standards by Fuzzy Logic 10.1234/mjee.v1i2.25 EN OICC Press Authors Various OICC Press Authors Journal Article 2024 02 28 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.