摘要
随着航空发动机健康管理系统中气路故障诊断技术的日趋进步,从提高飞行安全性及降低视情维修成本的角度出发,越来越多的军用航空发动机在研发过程中更聚焦于气路故障诊断设计。为了提升发动机工作安全性,系统梳理了国内外军用航空发动机气路故障诊断技术的发展历程,并按4个阶段对技术特征进行总结归纳。核心研究了基于数学模型、数据驱动和信息融合的气路故障诊断的一般方法和各自方法的优缺点,并提出了军用航空发动机气路故障诊断的关键技术,针对先进军用变循环发动机的特点和需求,给出了军用发动机气路故障诊断设计工程上应分阶段实施、利用机载实时模型开展不可测参数与可测参数关联研究、加强模式转换等过渡态气路故障诊断设计、辩证地处理控制系统和健康管理系统的功能分配关系等,可供中国未来开展自适应循环发动机的气路故障诊断设计时参考。
With the advancement of gas path fault diagnosis technology in the aeroengine health management system,more and more military aeroengines focus on gas path fault diagnosis design in the development process from the perspective of improving flight safety and reducing condition-based maintenance cost.To enhance the safety of engine operation,this paper systematically reviews the evolution of gas path fault diagnosis technology for military aeroengines at home and abroad and summarizes the technical characteristics in four stages.The research focuses on the general methods and their pros&cons of model-based gas path fault diagnosis,data-driven gas path fault diagnosis,and information fusion gas path fault diagnosis.Key technologies of gas path fault diagnosis for military aeroengines are proposed,and the development trends are discussed,including conducting research on the correlation between unmeasurable parameters and measurable parameters using onboard real-time models,strengthening gas path fault diagnosis design in a transient state such as mode conversion,and rationally handling the function allocation relationship between the control system and the health management system.At the same time,in response to the characteristics and requirements of advanced military variable-cycle engines,suggestions for phased implementation of gas path fault diagnosis design during engineering development are provided.It can provide references for China's future development of gas path fault diagnosis design for adaptive cycle engines.
作者
李大为
王奕首
李军
谢业平
张博文
夏迩豪
LI Da-wei;WANG Yi-shou;LI Jun;XIE Ye-ping;ZHANG Bo-wen;XIA Er-hao(School of Aerospace Engineering,Xiamen University,Xiamen Fujian 361000,China;AECC Shenyang Engine Research Institute,Shenyang 110015,China)
出处
《航空发动机》
北大核心
2024年第6期1-12,共12页
Aeroengine
基金
国家级研究项目资助。
