Prediction of Aero-Engine Exhaust Gas Temperature Based on Autoregressive Integrated Moving Average Model

DOI

10.2991/amcce-17.2017.83How to use a DOI?

Keywords

Aero-engine, Exhaust Gas Temperature, Autoregressive, Moving Average.

Abstract

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.

Copyright

© 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/).

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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  -