Study on fault diagnosis for transformer based on adaptive fuzzy inference system

This paper has effectively combined self-study advantage of adaptive neural network and fuzzy reasoning method of fuzzy math, resolved the problem that the fuzzy rule is difficult to be determined in the fault diagnosis for transformer insulation, confirmed the fuzzy rule and the fuzzy subject degree by using self-study function of adaptive neural network and established ANFIS model of transformer fault diagnosis. This model has realized the fault diagnosis for electric equipments and reflected the operation condition of the transformer.