Computer applications in fault diagnosis of power transformers - a review

Computers applications have found wide spread applications ‘human-like abilities’, capabilities to make judgments, guesses, change of opinions in fault diagnosis of power transformers in last two decades. Computer has reduced vagueness, uncertainties, analysis times, but quicker remedial actions during off-line and on-line fault diagnostic on power transformers. Data of the dissolved gases in oil-insulation of a power transformer can be incorporated into expert systems to facilitate decision making for fault diagnosis. Due to the diverse gas content of transformer oil, computer based Artificial Intelligence (AI) techniques and expert systems have been applied by the various researchers, scientists, different organizations and utilities. Various AI techniques studied and applied by the researches for dissolved gas analysis (DGA) in power transformers. For high accuracy, time, easiness, economy and to overcome the short falls of individual AI techniques, the combination of two or/and more as hybrid AI techniques are proposed by many researchers.