Enhancing the Diagnostic Accuracy of DGA Techniques Based on IEC-TC10 and Related Databases

Investigating and enhancing the accuracy of widespread dissolved gas analysis (DGA) techniques based on IEC-TC10 related databases was implemented. The current work aimed to help experts diagnose transformers’ faults accurately. major drawback is no decision diagnosis for cases that lie out specified codes traditional DGA methods. In this article, fuzzy logic (FL) artificial neural network (ANN) were applied standard such as Dornenburg ratio method, Rogers IEC Standard Code 60599. This paper provided a new concept using intelligence diagnostic conventional method ratio, Rogers’ which suffer from poor fail interpret cause in most cases. article FL ANN results compared with other literature. revealed methods improve 41.95, 76.76, 51.44% 58.97 (ANN), 89.02 (FL), 62.67% Rogers, Dornenburg, code, respectively.