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Information Journal Paper

Title

INTELLIGENT FAULT DIAGNOSIS IN POWER TRANSFORMER WITH USING DISSOLVED GAS ANALYSIS IN DIFFERENT STANDARDS BY FUZZY LOGIC

Pages

  33-38

Keywords

DISSOLVED GAS ANALYSIS (D.G.A)Q4

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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    Cite

    APA: Copy

    ZAERI, AMIR HOSSEIN, HOSHMAND, RAHMATOLLAH, & KAFI, MOHAMAD HOSSEIN. (2007). INTELLIGENT FAULT DIAGNOSIS IN POWER TRANSFORMER WITH USING DISSOLVED GAS ANALYSIS IN DIFFERENT STANDARDS BY FUZZY LOGIC. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, 1(2 (2)), 33-38. SID. https://sid.ir/paper/188213/en

    Vancouver: Copy

    ZAERI AMIR HOSSEIN, HOSHMAND RAHMATOLLAH, KAFI MOHAMAD HOSSEIN. INTELLIGENT FAULT DIAGNOSIS IN POWER TRANSFORMER WITH USING DISSOLVED GAS ANALYSIS IN DIFFERENT STANDARDS BY FUZZY LOGIC. MAJLESI JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2007;1(2 (2)):33-38. Available from: https://sid.ir/paper/188213/en

    IEEE: Copy

    AMIR HOSSEIN ZAERI, RAHMATOLLAH HOSHMAND, and MOHAMAD HOSSEIN KAFI, “INTELLIGENT FAULT DIAGNOSIS IN POWER TRANSFORMER WITH USING DISSOLVED GAS ANALYSIS IN DIFFERENT STANDARDS BY FUZZY LOGIC,” MAJLESI JOURNAL OF ELECTRICAL ENGINEERING, vol. 1, no. 2 (2), pp. 33–38, 2007, [Online]. Available: https://sid.ir/paper/188213/en

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