Abstract:Hydraulic system is one of the important airborne systems of aircraft. It outputs energy to drive the aircraft, and its performance, stability and reliability directly affect the safety of the aircraft. Flow rate is an important criterion to measure the stability of hydraulic system. Real-time monitoring of pipeline flow rate of hydraulic system can provide powerful support for system characteristic analysis and fault diagnosis. However, the flow resistance caused by the flow sensor has a significant influence on the system characteristics, so it is not widely used in the aviation hydraulic system. Aiming at the problem of flow resistance caused by sensors, the flow-related parameters were analyzed in depth, and a flow prediction model of aviation hydraulic system based on gradient lifting regression tree was proposed to predict the flow of hydraulic system through key parameters. Finally, the experimental results show that the GBRT model has better performance in prediction accuracy, training time, test time and other indicators than the least square linear regression model, decision tree regression model and extreme gradient lifting tree XGBoost model, which verifies the effectiveness of the proposed method.