Wear reliability analysis of pantograph systems based on an optimized radial basis function neural network

The wear reliability analysis model of pantograph systems is built based on a radial basis function neural network in this paper, complicated and strong nonlinear wear characteristics of pantograph systems are obtained, and the wear variational laws with external parameters are analyzed. By Comparing the optimized radial basis function neural network performance in relative errors and learning speed with BP neural network and ordinary radial basis function neural network, the optimized radial basis function neural network has strong ability of nonlinear mapping and functional approach, and obtains high prediction accuracy. The study provides a simple and feasible method for wear characteristic analysis and wear reliability design of pantograph systems in electric railroad.