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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 the short-term prediction accuracy of engine performance, a predictive model of engine exhaust temperature is established by the ARIMA model. Simulation results show that the prediction model is better than the traditional neural network prediction model.