Optimal Prediction of Breakdown Voltage Using Neural Network

The estimation of breakdown voltages is crucial for the design and safety of electrical insulation systems. This paper presents methodologies and automated approaches for estimating breakdown voltages in three distinct configurations (ESST, ESP, ESS) using RBF neural networks. A comparative study was conducted between the measured results and those predicted by the RBF model. The obtained results demonstrate the potential of this approach to enhance the accuracy of breakdown voltage estimation.