| 发动机数控系统诊断技术的发展 |
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| 引用本文： | 黄向华,孙健国.发动机数控系统诊断技术的发展[J].航空动力学报,1997,12(4):416-418. |
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| 作者姓名： | 黄向华 孙健国 |
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| 作者单位： | 南京航空航天大学(黄向华)，南京航空航天大学２０３教研室(孙健国) |
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| 摘 要： | 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。
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| 关 键 词： | 航空发动机 数字控制系统 故障诊断 |
| 收稿时间： | 9/1/1996 12:00:00 AM |
| 修稿时间： | 1/1/1997 12:00:00 AM |
DEVELOPMENT OF FAILURE DIAGNOSIS TECHNIQUESIN ENGINE DIGITAL CONTROL SYSTEMS |
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| Huang Xianghua and Sun Jianguo.DEVELOPMENT OF FAILURE DIAGNOSIS TECHNIQUESIN ENGINE DIGITAL CONTROL SYSTEMS[J].Journal of Aerospace Power,1997,12(4):416-418. |
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| Authors: | Huang Xianghua and Sun Jianguo |
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| Institution: | 2nd Dept.Nanjing University of Aeronautics and Astronautics,Nanjing 210016;2nd Dept.Nanjing University of Aeronautics and Astronautics,Nanjing 210016 |
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| Abstract: | 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. |
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| Keywords: | Aircraft engines Digital control system Fault diagnosis |
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