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

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ZAERI AMIR HOSSEIN; HOSHMAND RAHMATOLLAH; KAFI MOHAMAD HOSSEIN

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Journal: Majlesi Journal of Electrical Engineering Year:2007 | Volume:1 | Issue:2 (2) Page(s): 33-38

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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

Author(s)

ZAERI AMIR HOSSEIN | HOSHMAND RAHMATOLLAH | KAFI MOHAMAD HOSSEIN | Issue Writer Certificate

Keywords

TRANSFORMER FAULT DIAGNOSISQ4

DISSOLVED GAS ANALYSIS (D.G.A)Q4

FUZZY LOGICQ2

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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References

آنالیز گازهای محلول در روغن ترانسفورماتورها و راکتورها (کنفرانس)

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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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