Data-driven method embedded physical knowledge for entire lifecycle degradation monitoring in aircraft engines

D Xiao, Z Lin, A Yu, K Tang, H Xiao - Reliability Engineering & System …, 2024 - Elsevier
The degradation of aircraft engine performance necessitates real-time monitoring. We
introduce a real-time performance-degradation monitoring method comprising a baseline …

[HTML][HTML] An improved high-fidelity adaptive model for integrated inlet-engine-nozzle based on mechanism-data fusion

W Chen, YU Ziyang, DU Xian, SUN Ximing - Chinese Journal of …, 2024 - Elsevier
Nowadays, there has been an increasing focus on integrated flight propulsion control and
the inlet-exhaust design for the aero-propulsion system. Traditional component-level models …

A Reduced Order Model for Monitoring Aeroengines Condition in Real Time

J Rodrigo, L Sanchez de Leon, JL Montañes, JM Vega - Aerospace, 2023 - mdpi.com
A very fast reduced order model is developed to monitor aeroengines condition (defining
their degradation from a baseline state) in real time, by using synthetic data collected in …

A Proton Flux Prediction Method Based on an Attention Mechanism and Long Short-Term Memory Network

Z Zhang, L Liu, L Quan, G Shen, R Zhang, Y Jiang… - Aerospace, 2023 - mdpi.com
Accurately predicting proton flux in the space radiation environment is crucial for satellite in-
orbit management and space science research. This paper proposes a proton flux prediction …

Gas turbine aero engine fault detection using Geo-TLSVM and digital twin with multimodal data analysis

NVRS Tadepalli, R Koona - Engineering Research Express, 2024 - iopscience.iop.org
DT is the digital representation of physical systems to simulate real situations in a digital
version. Here, the DT of the GaT-AE is created for the Fault Detection (FD) process. The GaT …