Application of artificial intelligence for the assessment of the status of power transformers

Satyanarayana, KV and Reddy Ch, Charkradhar and Govindan, TP and Mandlik, Manoj and Ramu, TS (2008) Application of artificial intelligence for the assessment of the status of power transformers. In: 17th Biennial IEEE International Symposium on Electrical Insulation, JUN 09-12, 2008, Vancouver.

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Abstract

The Dissolved Gas Analysis (DGA) a non destructive test procedure, has been in vogue for a long time now, for assessing the status of power and related transformers in service. An early indication of likely internal faults that may exist in Transformers has been seen to be revealed, to a reasonable degree of accuracy by the DGA. The data acquisition and subsequent analysis needs an expert in the concerned area to accurately assess the condition of the equipment. Since the presence of the expert is not always guaranteed, it is incumbent on the part of the power utilities to requisition a well planned and reliable artificial expert system to replace, at least in part, an expert. This paper presents the application of Ordered Ant Mner (OAM) classifier for the prediction of involved fault. Secondly, the paper also attempts to estimate the remaining life of the power transformer as an extension to the elapsed life estimation method suggested in the literature.

Item Type:	Conference Paper
Series.:	IEEE International Symposium on Electrical Insulation. Conference
Publisher:	IEEE
Additional Information:	Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	09 Mar 2010 10:09
Last Modified:	19 Sep 2010 05:56
URI:	http://eprints.iisc.ac.in/id/eprint/25925

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