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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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Fuzzy-Logic Applications in Transformer Diagnosis Using Individual and Total Dissolved Key Gas Concentrations

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.1 Issue 1, pp 25-29,Year 2012

FUZZY-LOGIC APPLICATIONS IN TRANSFORMER DIAGNOSIS USING INDIVIDUAL AND TOTAL DISSOLVED KEY GAS CONCENTRATIONS

Hasmat Malik, R.K. Jarial, H.M. Rai

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Received : 28 May 2012; Accepted : 20 June 2012 ; Published : 30 June 2012

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Abstract

The gases generated in oil filled transformer can be used for determination of incipient faults. Dissolved gas analysis (DGA) of transformer oil has been one of the most power full methods to detect the faults. The various methods such as liquid chromatography, acoustic analysis, and transformer function techniques are require some experience to interpret observations. The researchers have used artificial intelligence (AI) approach to encode these diagnostic techniques. This paper presents an expert system using AI techniques which can diagnose multiple faults in a transformer theoretical and practical fuzzy-logic information model. We also concluded by identifying limitations, recent advances and promising future research directions over seventy and more power transformers.

Key Words   
Transformer, Dissolved gas analysis, Fuzzy-logic, diagnostic, Ex

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References
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To cite this article

Hasmat Malik, R.K. Jarial, H.M. Rai , " Fuzzy-logic Applications In Transformer Diagnosis Using Individual And Total Dissolved Key Gas Concentrations ", International Journal of Latest Research in Science and Technology . Vol. 1, Issue 1, pp 25-29 , 2012

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