Fault diagnosis method of civil aircraft air conditioning cooling system based on WPA-BP neural network

Combined with the current problems in the maintenance of civil air conditioning system, in order to improve the efficiency of civil fault diagnosis and reduce the troubleshooting time, a fault diagnosis method based on Wolf pack algorithm was proposed to optimize BP neural network. The experimental results show that compared with the standard BP neural network, WPA-BP algorithm can effectively shorten the training time, improve the accuracy of fault diagnosis, and has practical application value.