Partial discharge pattern recognition of GIS based on the UHF signal characteristics

By combining the advantage of adaptive genetic algorithm and back -propagation algorithm, a neural network trained by a hybrid algorithm based on these two algorithms was presented in this paper. It was applied in pattern recognition of partial discharge UHF detection for GIS. Four patterns of partial discharge in GIS detected by UHF detection system were recognized by the neural network trained by adaptive genetic algorithm, back-propagation algorithm and hybrid algorithm respectively. The experimental results show that this hybrid algorithm can improve the rate of convergence and assure the reliability of convergence in process of training, so it has a remarkable discrimination and generalization ability.