基于原子搜索 Kriging 模型方法的民用飞机液压系统温度监测

Temperature is one of the important characteristic parameters of civil aircraft hydraulic system performance. To effectively realize the temperature monitoring of hydraulic system，the method of Kriging model based on atomic search（ASOKM）is proposed based on Kriging model and atomic search optimization（ASO）algorithm. Firstly，the temperature fault causes of hydraulic system are analyzed，and the fault logic diagram is established to clarify the characteristic parameters affecting the hydraulic system temperature. Then，combined with the quick access recorder（QAR）data，the modeling principle of ASOKM method is introduced. Finally，the effectiveness of the proposed ASOKM method is verified by the temperature monitoring analysis of domestic civil aircraft hydraulic systems. The results show that，in comparison with response surface method（RSM），Kriging，and back-propagation-artificial neural network（BP-ANN）models，the training and monitoring average absolute errors of the ASOKM method are lower，which is of higher accuracy，efficiency and robustness. The proposed ASOKM method can provide a reference for reliability analysis，fault diagnosis，and predictive maintenance of the hydraulic system.