摘要
提出了求解发动机亚定故障方程组整体优化解的随机搜索模型。该数学模型可以在同时发生的故障模式的数目小于、等于、特别是大于测量参数个数的各种复杂情况下给出全面的故障诊断信息。以ＪＴ９Ｄ发动机全面性能诊断问题为例，利用随机模拟样本对随机搜索模型的诊断有效性进行了评估，并且利用ＪＴ９Ｄ发动机的２４个实际故障样本对随机搜索模型进行了检验。研究结果表明，利用４个测量参数可以对发动机主要部件同时发生的６～１０个故障进行诊断。诊断有效性指标可达０．８９～０．９４。
A random search model(RSM) of integrated optimization algorithm for resolving underdetermined jet engine fault equations is presented , which is able to give overall fault diagnosis information in the case that the number of the fault patterns which coexist in the diagnosed engine is less than, equal to, or especially greater than that of the measurements. An estimation of the diagnosis effectiveness of RSM is made by use of computer simulation method for JT9D engine overall performance diagnosis, and a practical test for RSM by use of 24 fault samples of JT9D engine is also conducted . Research results show that six to ten coexisting performance failures of the main components of JT9D engine can be diagnosed with only four measurements,and the index of effectiveness is able to reach 0.89 to 0.94.
出处
《航空学报》
EI
CAS
CSCD
北大核心
1997年第3期267-271,共5页
Acta Aeronautica et Astronautica Sinica
关键词
发动机性能监测
故障诊断
随机模拟
航空
engine performance monitoring, fault diagnosis, Monte Carlo method, random simulation
