Abstract:Aimed at the problems that the information between the sensors and the controller is transmitted in the form of multiplepacket in aeroengine distributed control system (DCS), the sensor nodes encapsulate the data measured into several data packets to transmit to the controller, at each sampling time, and a part of the data packets could be sent while the data packets failed to send would be discarded, in view of the mentionedabove conditions, a neural network predictor is designed to update the packets failed to be transmitted by a predicted value, making the aeroengine DCS with multiplepacket transmission an aeroengine DCS with singlepacket transmission. And then a multiplepacket transmission DCS model based on state estimation is established, and an observer is constructed. The observer error system could be regarded as a discrete periodic system, and the periodic system stability theory is utilized for deriving the stable working conditions of the neural network predictor and fault observer. Finally, the specific fault detection steps are given, and the simulation results show that the proposed fault detection method is valid.