Application of physical-structure-driven deep learning and compensation methods in aircraft engine health management

D **ao, H **ao, R Li, Z Wang - Engineering Applications of Artificial …, 2024 - Elsevier
The operational well-being of aircraft-engine turbine components is paramount for engine
safety. Monitoring exhaust gas temperature (EGT) serves as a key indicator of their …

An engine deterioration model for predicting fuel consumption impact in a regional aircraft

MJ Gurrola Arrieta, RM Botez, A Lasne - Aerospace, 2024 - mdpi.com
A deterioration cycle model is presented, designed to consider the turbomachinery efficiency
losses that are expected during real engine in-service operations. The cycle model was …

Model-referenced adaptive flight controller based on recurrent neural network for the longitudinal motion of Cessna Citation X

S Hosseini, C Inga, G Ghazi, RM Botez - AIAA Aviation 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3797. vid This paper presents a
methodology developed at the Laboratory of Applied Research in Active Controls, Avionics …

Performance model identification of the general electric CF34-8C5B1 turbofan using neural networks

RP Andrianantara, G Ghazi, RM Botez - Journal of Aerospace …, 2023 - arc.aiaa.org
This paper presents a methodology developed at the Laboratory of Applied Research in
Active Controls, Avionics, and Aeroservoelasticity to identify a performance model of the …

Neural network adaptive controller with approximate dynamic inversion for pitch control of the Cessna Citation X

RP Andrianantara, G Ghazi, RM Botez - AIAA AVIATION 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3798. vid This paper presents a
technique for designing an adaptive nonlinear controller for the pitch rate of the Cessna …

A Novel Flight Dynamics Modeling Using Robust Support Vector Regression against Adversarial Attacks

SM Hashemi, RM Botez - SAE International Journal of Aerospace, 2023 - sae.org
Abstract An accurate Unmanned Aerial System (UAS) Flight Dynamics Model (FDM) allows
us to design its efficient controller in early development phases and to increase safety while …

Model predictive controller with adaptive neural networks and online state estimation for pitch rate control of the Cessna Citation X

RP Andrianantara, G Ghazi, RM Botez - AIAA SciTech 2024 Forum, 2024 - arc.aiaa.org
This research presents a technique for designing an adaptive nonlinear controller for the
pitch rate of the Cessna Citation X business jet aircraft. The proposed control algorithm …

Neural network adaptive controller with approximate dynamic inversion for the Cessna Citation X lateral control

E Quintin, RP Andrianantara, G Ghazi… - AIAA SciTech 2024 …, 2024 - arc.aiaa.org
This work outlines a method for designing an adaptive nonlinear controller for the lateral
control of the Cessna Citation X business aircraft. The objective of the proposed controller is …

[HTML][HTML] Improved local scale generic cycle model for aerothermodynamic simulations of gas turbine engines for propulsion

MJ Gurrola Arrieta, RM Botez - Designs, 2022 - mdpi.com
A local scale Aerothermodynamic Generic Cycle Model (AGCM) is proposed. The AGCM
accounts for several improvements not considered in similar models, such as compressor …

Turbofan engine health status prediction with neural network pattern recognition and automated feature engineering

S Szrama - Aircraft Engineering and Aerospace Technology, 2024 - emerald.com
Purpose This study aims to present the concept of aircraft turbofan engine health status
prediction with artificial neural network (ANN) pattern recognition but augmented with …