Prediction of Aero-Engine Exhaust Gas Temperature Based on Autoregressive Integrated Moving Average Model
Hong Zhang, Keqiang Dong
Available Online March 2017.
- 10.2991/amcce-17.2017.83How to use a DOI?
- Aero-engine, Exhaust Gas Temperature, Autoregressive, Moving Average.
Forecasting the performance of aero-engine is a crucial problem that facilitates the avoiding unnecessary delays of aircraft. By applying the Autoregressive Integrated Moving Average Model to aero-engine gas path system, we find that the ARIMA method is suitable for forecast Exhaust Gas Temperature fluctuation series. Further, we find the trend of predicted values and original values are similar and the error between them is small.
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hong Zhang AU - Keqiang Dong PY - 2017/03 DA - 2017/03 TI - Prediction of Aero-Engine Exhaust Gas Temperature Based on Autoregressive Integrated Moving Average Model BT - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017) PB - Atlantis Press SP - 477 EP - 480 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-17.2017.83 DO - 10.2991/amcce-17.2017.83 ID - Zhang2017/03 ER -