Interpretation of dissolved gas analysis in transformer oil using fuzzy logic system

Abstract

Dissolved Gas Analysis (DGA) is used to determine the faults occurred in transformer oil by analyzing the gas evolved from it. This paper has presented the application of Fuzzy Logic system for dissolved gas analysis. DGA results were carried out and the possibility of improving the diagnosis with the aid of Fuzzy Logic system has been brought out. The results show that higher value of accuracy for predicted cases when compared to others. By combining various DGA techniques and interpreting classical DGA with Fuzzy Logic system approach, we have increased the predictability of the tool with the reduced time and maneuver.