%0 Journal Article
	%A Deepika Bhalla and  Raj Kumar Bansal and  Hari Om Gupta
	%D 2010
	%J International Journal of Electrical and Computer Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 38, 2010
	%T Application of Artificial Intelligence Techniques for Dissolved Gas Analysis of Transformers-A Review
	%U https://publications.waset.org/pdf/13423
	%V 38
	%X The gases generated in oil filled transformers can be
used for qualitative determination of incipient faults. The Dissolved
Gas Analysis has been widely used by utilities throughout the world
as the primarily diagnostic tool for transformer maintenance. In this
paper, various Artificial Intelligence Techniques that have been used
by the researchers in the past have been reviewed, some conclusions
have been drawn and a sequential hybrid system has been proposed.
The synergy of ANN and FIS can be a good solution for reliable
results for predicting faults because one should not rely on a single
technology when dealing with real–life applications.
	%P 261 - 269