Study on fault diagnosis of power transformer based on similarity measures between vague sets

The fault diagnosis method of power transformer based on similarity measures between vague sets is discussed. The similarity measures between Vague Sets is combined with transformer fault diagnose problem. The gas concentrations dissolved oil is used as failure symptoms, based on the knowledge sample, counted the analogical degree between the diagnosing fault swatch of Vague Set and system fault knowledge of Vague Set, so as to diagnose and arrange the faults. Through practical transformer fault diagnosis, the rationality and accuracy in the power transformer based on similarity measures between vague sets is elaborated and verified.