战斗机空气循环系统故障诊断方法的仿真研究

现代战斗机的飞行包线范围较大,飞行条件严苛多变,机载电子设备的功率密度也在不断增加,为了保证飞行员安全舒适,保障电子设备可靠工作,空气循环系统的可靠性问题亟待解决.为此提出了一种战斗机空气循环系统的故障诊断方法,方法基于BP神经网络.首先,对空气循环系统进行故障分析,选取热交换器和涡轮为典型故障部件,以二者的效率为故障特征值.其次,对空气循环系统的四种典型故障模式进行仿真,由仿真得到的数据训练BP神经网络,实现故障模式识别.诊断结果表明,方法具有良好的准确性和自适应性,能够成功诊断空气循环系统的典型故障.针对战斗机空气循环系统提出的故障诊断方法合理,对系统的可靠性研究具有重要意义.

Simulation of a Fault Diagnosis Method for Air Cycle System of Fighter Aircraft

The flight envelope of modern fighter has a wide range,and the power density of electronic equipments on board is continuously increasing.For these reasons,the reliability of air cycle system must be solved to guarantee pilot's safety and comfort,and to ensure the normal operation of electronic equipments on board.A fault diagnosis method of air cycle system for fighter aircraft based on BP neutral network is developed.Firstly,the FMECA(Failure Mode Effect and Criticality Analysis) of air cycle system is de...