Integrated Fuzzy Logic Approach for Calculation of Health Index of Power Transformer

The calculation of health index is a very useful tool for maintenance prediction of transformer. The overall health condition of a transformer is directly evaluated by diagnostic test performed in the insulation of the transformer. Then results of these tests are used for timely health evaluation and remnant life estimation. This shows the insulation degradation in transformer with the help of different transformer parameters. These parameters mostly act at the same time and due to these reasons transformer health index evaluation would be difficult. In this paper different parameter like DGA, SFRA, water content IFT, UV Spectrophotometry and hot spot temperature of transformer are used to create a fuzzy sub-models for assessment of the respective critical conditions of the transformer. Overall fuzzy model is developed by integrating fuzzy sub models. This fuzzy model provides the facility to identify the insulation condition and its criticality level. The integrated fuzzy sub model approach decreases the complexity in the evaluation of health index and life estimation. The health index helps us to know about condition of transformer so that necessary actions can be taken at appropriate time.