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International Journal of Advanced Technology and Engineering Exploration (IJATEE)

ISSN (Print):2394-5443    ISSN (Online):2394-7454
Volume-5 Issue-39 February-2018
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DOI:10.19101/IJATEE.2018.538002
Paper Title : Transformer failure diagnosis by different rule extraction method: a review
Author Name : Anurag Tamrakar and V.B. Reddy
Abstract :

In this paper study and analysis have been presented for the dissolved gas analysis (DGA). It is the crucial component for fault diagnosis in oil filled transformers. It is also important as the timely diagnosis may help in several directions including the cost. So several methods in the direction of efficient diagnosis and missing classification have been discussed. This paper provides the direction in finding the way to overcome the gaps and finding the chances to build an efficient framework for this diagnosis. This paper also provides the comparative study for the detail analysis of the methods used in the previous literature. It is also helpful in the explorations of the gaps, better method identification and finding in the better combination of methods used.

Keywords : DGA, Data mining, Fault diagnosis, Transformer.
Cite this article : Anurag Tamrakar and V.B. Reddy , " Transformer failure diagnosis by different rule extraction method: a review " , International Journal of Advanced Technology and Engineering Exploration (IJATEE), Volume-5, Issue-39, February-2018 ,pp.23-29.DOI:10.19101/IJATEE.2018.538002
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