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Analysis of Dissolved Gas in transformer oil by conventional Techniques and Artificial Intelligence approach-A Review.

Author(s):
kotadia brijesh , government polytechnic rajkot; parmar sandip, government polytechnic rajkot; shah bhavesh, government polytechnic rajkot

Keywords:
Transformer Oil, Dissolved Gas Analysis (DGA), Artificial Intelligence, Hybrid Systems.

Abstract

The Dissolved Gas Analysis has been widely used by utilities throughout the world as the primarily diagnostic tool for transformer maintenance. The gas generated in mineral oil of power transformer can be monitored by all conventional methods, online DGA system and by application of various Artificial Intelligence practices. This sequential hybrid system ANN and FIS can be a good solution for reliable results for predicting faults because one should not depend on a single technology when dealing with real–life applications. This paper compares the conventional system of DGA and various analysis techniques by application of Artificial Intelligence.

Other Details
Paper ID: IJSRDV2I4129
Published in: Volume : 2, Issue : 4
Publication Date: 01/07/2014
Page(s): 236-241

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