تعداد نشریات | 418 |
تعداد شمارهها | 10,005 |
تعداد مقالات | 83,629 |
تعداد مشاهده مقاله | 78,551,261 |
تعداد دریافت فایل اصل مقاله | 55,712,605 |
Intelligent Fault Diagnosis in Power Transformer with Using Dissolved Gas Analysis in different Standards by Fuzzy Logic | ||
Majlesi Journal of Electrical Engineering | ||
مقاله 5، دوره 1، شماره 2، شهریور 2007، صفحه 33-38 اصل مقاله (222.38 K) | ||
نوع مقاله: Review Article | ||
شناسه دیجیتال (DOI): 10.1234/mjee.v1i2.25 | ||
چکیده | ||
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. | ||
کلیدواژهها | ||
Transformer fault diagnosis؛ en؛ Dissolved Gas Analysis (D.G.A)؛ fuzzy logic | ||
آمار تعداد مشاهده مقاله: 20 تعداد دریافت فایل اصل مقاله: 41 |