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Comparitive study and analysis of DGA methods for mineral oil using fuzzy logic

Muhamad, N. A. and Phung, B. T. and Blackburn, T. R. (2007) Comparitive study and analysis of DGA methods for mineral oil using fuzzy logic. In: Proceedings of 2007 Conference IPEC. IEEE, New York, USA, pp. 1301-1306. ISBN 978-981-05-9423-7

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Abstract

Dissolved gas 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:Book Section
Additional Information:Conference Information: IPEC 2007 Meeting Singapore, Singapore, Dec. 03-06, 2007
Uncontrolled Keywords:DGA interpretation method, fuzzy logic, fault gases
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:11676
Deposited By: Nor Asmida Abdullah
Deposited On:28 Dec 2010 08:07
Last Modified:28 Dec 2010 08:07

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