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.

Keyword

DGA, Data mining, Fault diagnosis, Transformer.

Cite this article

Refference

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