Fuel estimation of commercial aircraft for the climb-out phase using gaussian process regression model

Authors : Vehbi Emrah ATASOY

Pages : 179-194

Doi:10.58559/ijes.1207971

View : 14 | Download : 13

Publication Date : 2022-12-29

Article Type : Research Paper

Abstract :In this study, Gaussian Process Regression insert ignore into journalissuearticles values(GPR); is utilised to accurately estimate fuel consumption. For this purpose, ten randomly determined flights performed by Boeing B737-800 twin-engine medium-haul narrow-bodied commercial aircraft are selected. In this context, actual flight data obtained from the Flight Data Recorder insert ignore into journalissuearticles values(FDR); is used to estimate fuel consumption during the climb-out phase. Different statistical tests, namely Root Mean Square Error insert ignore into journalissuearticles values(RMSE);, coefficient of determination insert ignore into journalissuearticles values(R2);, and Mean Absolute Error insert ignore into journalissuearticles values(MAE);, are applied to evaluate the performance of the GPR in this paper. RMSE, R2, and MAE values for GPR is calculated to be 209.41, 0.99, and 111.38, respectively. As can be seen from the results of all statistical tests, the GPR model indicates successful performance.
Keywords : Fuel Consumption, Gaussian Process Regression, Climb out phase