Universiti Teknologi Malaysia Institutional Repository

Fuzzy logic application in evaluation of DGA interpretation methods

Muhamad, Nor Asiah and Phung, B. T. and Balackburn, T. R. (2009) Fuzzy logic application in evaluation of DGA interpretation methods. International Journal of Power, Energy and Artificial Intelligence, 1 (2). ISSN 1985-6431

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Dissolved gas-in-oil analysis (DGA) is one of the most useful techniques to detect the incipient faults in large oil-filled transformers. Various methods have been developed to interpret DGA results. Among them are the Key Gas, Rogers Ratio, Logarithmic Nomograph, Doernenburg, IEC Ratio and Duval Triangle. This paper used the DGA data from 69 different cases to test the accuracy and consistency of these methods in interpreting the transformer condition. The key gases considered for evaluation are hydrogen, methane, ethane, ethylene and acetylene. MATLAB programs with and without using Fuzzy logic were developed to automate the evaluation of each method. The difference on accuracy and consistency of each method using and not using Fuzzy logic is presented.

Item Type:Article
Subjects:T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:18968
Deposited On:15 Dec 2011 05:26
Last Modified:12 Feb 2017 08:00

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