发动机数控系统诊断技术的发展

DEVELOPMENT OF FAILURE DIAGNOSIS TECHNIQUES IN ENGINE DIGITAL CONTROL SYSTEMS

综述发动机数控系统传感器的故障诊断尤其是软故障诊断技术的发展。首先介绍了传感器故障检测与分离技术的初期研究工作，论述了鲁棒故障诊断的必要性及发展。最后介绍了基于人工神经网络的故障诊断方法。

This paper surveys the development of sensor failure diagnosis in engine digital control systems.First,the early research works on techniques of sensor failure detection and isolation are reviewed.The main disadvantage of model-based methods is high sensitivity to modeling errors which are inevitable because of the complexity of the aircraft engine.Then,the paper considers the necessity of robust failure diagnosis and its development.In view of the fact that the neural networks have been successively applied to control realm and possess themselves of tremendous potentials,the neural-network-based failure diagnosis is recommended as a promising approach in the engine digital control systems.