基于ARIMA模型的航空发动机性能预测

Aero Engine Performance Prediction Based on ARIMA Model

为了提升发动机性能短期预测精度,利用求和自回归移动平均(ARIMA)模型建立某型发动机排气温度预测模型。仿真显示,该预测模型结果优于传统神经网络预测模型。

In order to improve prediction accuracy of short-term engine performance, Autoregressive Integrated Moving Average （ARIMA） model is used to establish exhaust gas temperature prediction model of a certain type of engine. Simulation shows that the results of the prediction model are superior to traditional neural network prediction model.