In order to build the transformer evaluation model both with objective laws and subjective initiatives, a transformer health status evaluation method is proposed based on association rules and analytic hierarchy process (AHP). By analyzing the degree of association of each individual transformer operation state quantities and type of faults, established a set of comprehensive state quantities. We introduced association rule and calculated the weight coefficients of Individual state quantity, then established a comprehensive analysis of the quantity of state-level standards and determined the amount of the comprehensive state weighting coefficient. Finally, we got real running status of transformer. Simulation results show that the state evaluation method can more accurately determine the true state of running power transformers.

Abstract. In order to make the transformer insulation aging assessment and life prediction more reasonable, we established transformer evaluation model based on the operating load, environmental factors, the electrical characteristics of the experiment and oil chromatographic characteristics. Then we applied the evaluation model to the engineering practice and the prediction result is satisfactory.