Abstract: In order to improve diagnosis accuracy,a new algorithm of integrated diagnosis of aeroengines' gas-path faults using artificial neural network was proposed.The integrated diagnosis system of neural network was established by integration of four subsystems.Pretreated fault data obtained from flight data was put respectively into the generalized regression neural network subsystem and the back-propagation neural network subsystem for fault diagnosis.Then,a new information fusion algorithm was studied to integrate the two outputs.Fault characteristic in the final output was more obvious so that diagnosis accuracy was improved.The test shows that,the new information fusion algorithm is well-effective and of a high practical value.