Research on fault diagnosis of hydraulic system in missile armament simulation system based on HLA

Hydraulic system is the important component of missile armament system, and its performance has determined the viability and reliability of the armament system. So it is very significant to diagnose its faults during its working period. But it will cause the substantive training expense to carry out the study in the actual equipment, and it is disadvantageous to the study of fault diagnosis technique. In this paper the models of hydraulic system using the missile armament simulation system based on HLA is proposed, and then they are partitioned into different subsystems according to their functions and the detection points are set among them. The faults are located and classified by the neural network, the simulation model of diagnosis system and the faults repository, thereby their locations and causes are detected. The simulation result validates the feasibility and validity of this method.