Transient gas path fault diagnosis of aero-engine based on domain adaptive offline reinforcement learning

J Xu, Y Wang, Z Wang, X Wang, Y Zhao - Aerospace Science and …, 2024 - Elsevier
Real-time measurement parameters are crucial for diagnosing faults in aero-engine gas
path performance, ensuring engine reliability, and mitigating potential economic losses …

[HTML][HTML] Experimental analysis and modeling of gas turbine engine performance: Design point and off-design insights through system of equations solutions

M Razmjooei, F Ommi - Results in Engineering, 2024 - Elsevier
In this article, a systematic approach is presented for simulating turbojet engine performance
at both design and off-design points. The construction of gas turbine engines involves a …

[HTML][HTML] Intelligent Method of Identifying the Nonlinear Dynamic Model for Helicopter Turboshaft Engines

S Vladov, A Banasik, A Sachenko, WM Kempa… - Sensors, 2024 - mdpi.com
This research focused on the helicopter turboshaft engine dynamic model, identifying task
solving in unsteady and transient modes (engine starting and acceleration) based on sensor …

Data-driven modeling approach of heavy-duty gas turbine with physical constraint by MTGNN and Transformer

R Liu, C Huang - Control Engineering Practice, 2024 - Elsevier
Aiming at the complex nonlinear and uncertain multi-variable coupling problems of heavy-
duty gas turbine, a data-driven heavy-duty gas turbine modeling method combined with …

Fast uncertainty assessment of in-service thrust control for turbofan engines: An equivalent model using Taylor expansion

Z Wei, S Zhang, S Ding - Energy, 2024 - Elsevier
An equivalent model using Taylor expansion (TEEM) is proposed for a fleet of engines
regulated by the industrial baseline controller, aiming at the fast assessment of in-service …

Thermal performance analysis of gas turbine power plant using soft computing techniques: a review

RS Surase, R Konijeti, RP Chopade - Engineering Applications of …, 2024 - Taylor & Francis
Gas turbines are pivotal in electricity generation and industry, prized for their efficiency and
flexibility in meeting diverse power needs. Optimizing their thermal efficiency is essential for …

A digital twin approach for gas turbine performance based on deep multi-model fusion

J Zhang, Z Wang, S Li, P Wei - Applied Thermal Engineering, 2024 - Elsevier
Engine model plays a crucial role in various applications of energy system, such as health
management and control optimization. However, the traditional physics-based model is …

Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator

FN Irani, M Soleimani, M Yadegar, N Meskin - Applied Energy, 2024 - Elsevier
The gas turbine engine is a predominant prime mover in the transport and energy sectors,
and ensuring its reliable operation holds paramount significance. While intelligent fault …

Experimental Transient Process Analysis of Micro-Turbojet Aviation Engines: Comparing the Effects of Diesel and Kerosene Fuels at Different Ambient Temperatures

G Cican - Energies, 2024 - mdpi.com
In this paper, we investigate the impact of diesel and kerosene on the transient processes
occurring in a micro-turbojet aviation engine. The experiments were conducted under two …

Techno-economic, environmental risk, and gas path analysis of intercooled recuperated turbofan engine

YZ Chen, GL Feng, HC Xiang, E Tsoutsanis… - Applied Thermal …, 2024 - Elsevier
The growing interest in the intercooled recuperated turbofan engine (IRT) reflects the push
towards more fuel-efficient aero-engines. However, several additional questions are raised …