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A multi-criterion hybrid expert model for health assessment and maintenance of power transformer insulation
In the present paper, a novel multi-criterion-based adaptive neuro-fuzzy inference system (ANFIS) is proposed to determine the overall health index (OHI) of power transformer insulation. The proposed model concentrates on 12 diagnostic attributes related to dissolved gases, oil and paper insulation. On-field data fr...
An intelligent multi-hierarchically weighted neural network for condition assessment of power transformer insulation
The proposed hybrid model effectively addresses the general issues raised by intelligent models, such as reliance on expert rule-based approaches in Fuzzy models, greater computational demand in ANN and ANFIS models, and increased complexity due to diagnostic attributes.