关键词: 时变模糊推理系统, 时变模糊神经网络, 航空发动机, 排气温度预测

Abstract: To obtain a better accuracy,the time-varying fuzzy inference system theory was established,and a time-varying fuzzy neural network was created to solve the problem that the application was hard realized by too much parameters of the fuzzy inference system.The learning algorithm of the network structure was also designed.Mackey-Glass chaotic time series prediction was used to prove the network prediction accuracy,and the time-varying fuzzy inference system theory was used to predict the exhaust gas temperature deviation.The result showed that the better variation trend was predicted by proposed network,which could provide support for pre-diagnosis of aero-engine.

Key words: time-varying fuzzy inference system, time-varying fuzzy neural network, aero-engine, exhaust gas temperature prediction