Fuzzy Logic Application in DGA Methods to Classify Fault Type in Power Transformer

Abstract

Detection of new faults in the transformer early is very important to prevent accidents and to reduce the related material losses. Dissolved gas analysis (DGA) is widely used for this purpose. There are methods according to different standards for DGA. Conventional methods used in the implementation of DGA are improved by using intelligent systems.In this study, IEC ratio method, one of the classical methods, were used. A intelligent fuzzy-based analysis was done using MATLAB. The results obtained from fuzzy logic and real faults are given in the table and a comparative evaluation of the IEC methods is made. © 2020 IEEE.