THERMAL SCIENCE

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Authors of this Paper

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Dingzhe Li

,

Jingbo Peng

,

Dawei He

AERO-ENGINE EXHAUST GAS TEMPERATURE PREDICTION BASED ON LIGHTGBM OPTIMIZED BY IMPROVED BAT ALGORITHM

ABSTRACT
In this paper, an aero-engine exhaust gas temperature prediction model based on LightGBM optimized by the chaotic rate bat algorithm is proposed to monitor aero-engine performance effectively. By introducing chaotic rate, the convergence speed and precision of bat algorithm are improved, which chaotic rate bat algorithm is obtained. The LightGBM is optimized by chaotic rate bat algorithm and it is used to predict exhaust gas temperature. Taking a type of aero-engine for example, some relevant performance parameters from the flight data measured by airborne sensors were selected as input variables and exhaust gas temperature as output variables. The data set is divided into training and test sets, and the CRBA-LightGBM model is trained and tested, and compared with ensemble algorithms such as RF, XGBoost, GBDT, LightGBM, and BA-LightGBM. The results show that the mean absolute error of this method in the prediction of exhaust gas temperature (after normalization) is 0.0065, the mean absolute percentage error is 0.77% and goodness of fit R2 has reached to 0.9469. The prediction effect of CRBA-LightGBM is better than other comparison algorithms and it is suitable for aero-engine condition monitoring.
KEYWORDS
aero-engine, exhaust gas temperature prediction, LightGBM, improved bat algorithm, flight data
PAPER SUBMITTED: 2020-05-20
PAPER REVISED: 2020-06-27
PAPER ACCEPTED: 2020-07-08
PUBLISHED ONLINE: 2020-09-12
DOI REFERENCE: https://doi.org/10.2298/TSCI200520246L
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2021, VOLUME 25, ISSUE Issue 2, PAGES [845 - 858]
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Aero-engine exhaust gas temperature prediction based on LightGBM optimized by improved bat algorithm

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence