摘要
航空发动机气路故障诊断是通过对发动机系统、部件的气路参数进行分析,以识别气路部件性能退化或故障的主动过程,是提高飞行安全性和可靠性、降低发动机维修成本的重要途径,当前已成为飞行推进技术研究领域的热点。本文较为详尽地阐述了发动机气路故障诊断技术的发展历程;讨论了发动机气路故障诊断的主要方法,包括基于线性/非线性模型的诊断方法、基于数据驱动的诊断方法、基于信息融合的诊断方法等,评述了这些方法的优缺点;最后指出了气路故障诊断技术中的关键技术和难点,并对未来的发展趋势进行了展望。
Aeroengine gas path fault diagnosis is an active process to identify the performance degradation or failure of gas path components by analyzing gas path parameters of engine system and components.It is one of the most important aspects to improve flight safety and reliability,and reduce engine maintenance cost.At present,it has become a hot topic in the field of flight propulsion technology.This paper presents the development of engine gas path fault diagnosis technology;discusses the main methodologies of engine gas path fault diagnosis,including the linear/nonlinear model based,data-driven based,information fusion based ones.The comments on the advantages and disadvantages of these methods are then followed.The key technologies and difficulties are finally pointed out,and the prospect of aeroengine gas path fault diagnosis is reached.
作者
黄金泉
王启航
鲁峰
HUANG Jinquan;WANG Qihang;LU Feng(College of Energy and Power Engineering,Nanjing University of Aeronautics&Astronautics,Nanjing,210016,China)
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2020年第4期507-522,共16页
Journal of Nanjing University of Aeronautics & Astronautics
基金
国家科技重大专项(2017-I-0006-0007)资助项目。
关键词
航空发动机
气路故障诊断
性能退化
机理模型
数据驱动
信息融合
aeroengine
gas path fault diagnosis
performance degradation
physical model
data-driven
information fusion
