An Aircraft Fuel Flow Model of Cruise Phase Based on LSTM and QAR Data

Luo, Wenxin; Zixuan, Wu; Chen, Cong

doi:10.1109/iscid51228.2020.00033

Cited by 3 publications

(1 citation statement)

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“…Several researchers conduct in-depth research on estimating or calculating the fuel flow of aircraft for various flight phases [8][9][10][11][12]. Luo et al [13] A significant portion of the fuel is consumed during the climb phase of the flight due to the high thrust applied, especially on short-haul flights. Because of these reasons, one of the flight phases where the aircraft is heaviest is the climb phase.As a result of this condition, increasing fuel use results in both an increase in emissions and economic loss [16].…”

Section: Introductionmentioning

confidence: 99%

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

Atasoy

2022

International Journal of Energy Studies

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In this study, Gaussian Process Regression (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 (FDR) is used to estimate fuel consumption during the climb-out phase. Different statistical tests, namely Root Mean Square Error (RMSE), coefficient of determination (R2), and Mean Absolute Error (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.

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