Fault Diagnosis Method of Shortwave Transmitting System Based on IAGA-BP Neural Network

In this paper, a diagnosis model of shortwave transmitting system based on improved adaptive GA-BP neural network is designed, aiming at numerous varieties and unobvious difference of the state of shortwave transmitting system. The idea of adaptive adjustment of crossover probability and mutation probability in genetic algorithm is introduced into the optimization of fault diagnosis model based on BP neural network. The experiments on the monitoring data of the shortwave transmission system show that the improved fault diagnosis algorithm has stronger convergence ability and recognition accuracy, which can effectively improve the fault diagnosis efficiency of the monitoring system and better enhance the practical value of the monitoring system.