摘要
民航客机能够安全的完成飞行任务是航空公司正常运作的基本要求。民机的故障诊断方法作为飞机维修工程中的重要的一环。对保证飞机的安全性能起着至关重要的作用。介绍了基于故障树分析的故障诊断方法、基于案例的故障诊断方法、基于SDG的故障诊断方法和基于神经网络的人工智能故障诊断方法在民机故障诊断方面的运用,并且阐述了不同方法之间的区别及它们的优缺点。
Aircraft to safety complete the mission is the normal operation of the basic requirements of the airline. The fault diagnosis for civil aircraft as aircraft maintenance is an important part in ensuring the safety of aircraft performance, plays a vital role. Describing the fault diagnosis method based on FTA, fault diagnosis method based on CBP,., fault diagnosis method based on SDG and fault diagnosis method based on neural network, meantime the article illustrates the differences between these approaches and their strengths and weaknesses.
作者
薛力寅
左洪福
苏艳
XUE Li-yin, ZUO Hong-fu, SU Yan (College of Civil Aviation, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)
出处
《电脑知识与技术》
2011年第10期7061-7062,共2页
Computer Knowledge and Technology