Research of actuator fault health management method based on neural network

By using the health management technology the actuators can be timely responded to the fault situation so that it should be used the right approach to solve and prevent the occurrence of the fault and improve the system reliability. In this paper a method of the actuator health management is proposed by using neural network pattern recognition technology in the flight control system. Firstly, a particular actuator fault parameters model is selected. Then, the fault feature extraction, health situation assessment and remaining life prediction are analyzed by applying the BP neural network. The simulation results demonstrate the proposed method is effective to health monitoring for the actuators.