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

Abstract

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.