Fault Prediction of Distribution Terminal Equipment Based on Entropy Weight Vague Matter-element under the Digital Twin Framework

Abstract

Aiming at the problems of the terminal equipment failure of the distribution network, the paper proposes a method based on the digital twin to predict the failure of the terminal equipment of the distribution network. First, a fuzzy matter-element model of the equipment is constructed in the digital twin system of the power distribution terminal equipment. Second, the weight of each feature is determined by the entropy weight method, and the fault prediction is made through the value of the correlation function. Finally, simulation experiments verify the effectiveness of the proposed method.