Fault Detection in Potential Transformer Using Machine Learning

              Power transformer is one of the important equipment in power system. The fault in transformer causes breakdown in power system which produces financial losses to power industry and inconvenience to the end user. In power transformers, liquid insulation in the form of mineral oil/transformer oil is being used as cooling agent. An impregnated insulation cellulose/paper is also used as solid insulation in transformer. Transformer oil as liquid insulation is very important as it provides electrical insulation, dissipates heat as cooling agent, protect the core & winding and does isolation and moreover, prevent direct contact of atmospheric oxygen with winding.  Paper insulation of winding deteriorate with time of usage which results in deterioration of solid insulation. The liquid insulation (transformer oil) when heated up due to working of transformer, decomposes and produce gases like hydrogen (H2), methane (CH4), acetylene (C2H2), ethylene (C2H4) and ethane (C2H6). These gases deteriorate the quality of transformer oil and further its properties as coolant and insulator are affected which may result in breakdown of transformer as equipment in power supply.