Digital twin for Electronic Centralized Aircraft Monitoring by machine learning algorithms

U Kilic, G Yalin, O Cam - Energy, 2023 - Elsevier
Abstract Electronic Centralized Aircraft Monitoring (ECAM) parameters play a vital role in the
operation of an aircraft to reduce the workload of the cockpit crew. A wide-body commercial …

Evaluation of aircraft engine performance during takeoff phase with machine learning methods

B Kurt - Neural Computing and Applications, 2024 - Springer
During the takeoff phase, aircraft engines reach maximum speed and temperature to
achieve the required thrust. Due to these harsh operating conditions, the performance of …

A critical review of energy consumption and optimization strategies in the Nigerian aviation sector: challenges and prospects

OF Orikpete, NM Gungura, E Ehimare… - Bulletin of the National …, 2023 - Springer
Background The global aviation industry plays a crucial role in socioeconomic
advancement. However, its notable energy consumption has garnered attention due to the …

Anomaly detection of four-engine aircraft based on Parameter differences

J Liu, J Bai, W Wang - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
In this paper, a real-time anomaly detection method combining GDN and Gaussian model is
proposed for the real-time engine condition monitoring of four-engine aircraft. Firstly, the gas …

Review of Civil Aircraft Fuel Consumption and Fuel Savings

L Hai**, W Yonghu, Z Ran… - World Journal of …, 2024 - isciencegroup.com
The aviation industry is one of the top ten greenhouse gas emitters worldwide. Aviation fuel,
as a non-renewable disposable energy source, is costly and emits a large amount of …

[PDF][PDF] Estimation of Fuel Consumption Reduction by the SET Operations at Narita Int'l Airport

R Funaba, K Matsuo, K Tominaga, E Itoh - sesarju.eu
Reducing fuel consumption is one of the issues that airlines are tackling these days. One
solution is to apply the Single Engine Taxi (SET) operations that shut down one of the …