摘要
燃气涡轮发动机在航空、地面和舰船上有着广泛的应用,对其进行性能评估和故障诊断有着重大的现实意义。本文对发动机气路诊断的发展以及当前的主要气路诊断方法如故障方程法,基于非线性模型的诊断方法,基于人工智能等方法进行了综述,最后对航空发动机气路诊断的发展进行了展望。
Gas turbine engines are widely used in the fields of air,ground and ship,so it is much of importance to assess engine performance and diagnose its faults.This paper surveys the development of engine fault diagnosis and the main diagnosing methods including gas path analysis,non-linear mode methods and artificial intelligence methods.Finally,the prospect of studying engine fault diagnosis is presented.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2003年第6期753-760,共8页
Journal of Aerospace Power
关键词
航空燃气涡轮发动机
故障诊断
人工智能
支持向量机
气路性能
aircraft engine
fault diagnosis
gas path analysis
artificial intelligence
Dempster-Shafer theory
support vector machine
aerospace propulsion system
