In this paper, an RBF neural network approach is applied to aeroengine gas path fault diagnosis.
本文将径向基函数(RBF)神经网络应用到航空发动机故障诊断中。
A fault diagnosis equation for the twin-spool mixed flow turbofan engine was established based on the simulation and gas path analysis.
并以此为基础运用气路分析原理，选取表征发动机性能参数变化的症兆变量和测量参数，建立了发动机故障诊断小偏差方程。
A fault diagnosis equation for the twin-spool mixed flow turbofan engine was established based on the simulation and gas path analysis.
并以此为基础运用气路分析原理，选取表征发动机性能参数变化的症兆变量和测量参数，建立了发动机故障诊断小偏差方程。
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