Performance diagnostics of gas turbines operating under transient conditions based on dynamic engine model and artificial neural networks

E Tsoutsanis, I Qureshi, M Hesham - Engineering Applications of Artificial …, 2023 - Elsevier
Gas turbine engines are machines of high complexity and non-linearity. Interpreting the vast
amount of data from a gas turbine and converting them into customer value requires the …

Advanced research on the preparation and application of carbide ceramic fibers

Z Zhao, W Liao, J Chen, J Jiao, C Wu… - Journal of Advanced …, 2024 - sciopen.com
Carbide ceramic fibers are of significant importance for application in the high-tech areas of
advanced aircraft engines, aerospace vehicles, and the nuclear industry due to their …

Machine learning based approach for forecasting emission parameters of mixed flow turbofan engine at high power modes

H Aygun, OO Dursun, S Toraman - Energy, 2023 - Elsevier
To predict aircraft emissions from their own features has become more important as the
usage field of aviation engines is extended to different sectors for different purposes. In the …

Multiple aspects to flight mission performances improvement of commercial turbofan engine via variable geometry adjustment

C Cai, Y Wang, J Fang, H Chen, Q Zheng, H Zhang - Energy, 2023 - Elsevier
To meet the operational requirements of commercial engines for high economic efficiency
and low pollution emission, the research on the flight mission performance improvement …

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

D Xiao, H Xiao, 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 …

Heuristic deepening of aero engine performance analysis model based on thermodynamic principle of variable mass system

B Wang, Y Xuan - Energy, 2024 - Elsevier
The variable mass system (VMS) model for aero engine performance analysis takes into
account the variable mass characteristics attributed to the gas compressibility and mass …

Integrated study of prediction and optimization performance of PBI-HTPEM fuel cell using deep learning, machine learning and statistical correlation

M Alibeigi, R Jazmi, R Maddahian, H Khaleghi - Renewable Energy, 2024 - Elsevier
This paper uses 3D modeling and artificial intelligence methods to predict, and find optimal
point in high-temperature proton exchange membrane (HTPEM) fuel cells. The main …

Numerical simulation on effects of augmentation in temperature of inlet steam on wet steam flow in supersonic nozzle: energy and exergy analysis

X Hui, Y Ma, X Deng - Multiscale and Multidisciplinary Modeling …, 2023 - Springer
Because of limited energy resources, the examination of losses in industrial systems is very
imperative. The energy and exergy analysis is considered one of the methods to evaluate …

Novel nuclear power and fossil fuel hybrid propulsion systems for long-endurance unmanned aerial vehicles: Configuration comparison and performance optimization

K Cheng, J Li, F Jiang, Q Xiao, Z Zou, J Qin, W Jing - Energy, 2024 - Elsevier
Aircraft nuclear propulsion system can significantly enhance the endurance, but its large
size and weight become disadvantages against the conventional fossil fuel propulsion …

Prediction of performance characteristics of an experimental micro turbojet engine using machine learning approaches

H Aygun, OO Dursun, K Dönmez, O Sahin, S Toraman - Energy, 2024 - Elsevier
The continuous growth of the world population leads to an increase in energy demand,
which poses challenges to sustainable energy supply. Predicting aviation engine …