[HTML][HTML] A population-based SHM methodology for heterogeneous structures: Transferring damage localisation knowledge between different aircraft wings

P Gardner, LA Bull, J Gosliga, J Poole, N Dervilis… - … Systems and Signal …, 2022 - Elsevier
Population-based structural health monitoring (PBSHM) offers a new viewpoint for structural
health monitoring (SHM), allowing diagnostic information to be shared across populations of …

Using data from similar systems for data-driven condition diagnosis and prognosis of engineering systems: A review and an outline of future research challenges

M Braig, P Zeiler - IEEE Access, 2022 - ieeexplore.ieee.org
Prognostics and health management (PHM) is an engineering approach dealing with the
diagnosis, prognosis, and management of the health state of engineering systems. Methods …

Self-enhancing model-based control for active transient protection and thrust response improvement of gas turbine aero-engines

Z Wei, S Zhang, S Jafari, T Nikolaidis - Energy, 2022 - Elsevier
A self-enhancing active transient protection (SeATP) control approach using model-based
strategies is proposed for gas turbine aero-engines, which aims at pro-actively handling …

Aircraft engine performance monitoring and diagnostics based on deep convolutional neural networks

AD Fentaye, V Zaccaria, K Kyprianidis - Machines, 2021 - mdpi.com
The rapid advancement of machine-learning techniques has played a significant role in the
evolution of engine health management technology. In the last decade, deep-learning …

[HTML][HTML] A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines

T Olsson, E Ramentol, M Rahman, M Oostveen… - Energy and AI, 2021 - Elsevier
Predictive health monitoring of micro gas turbines can significantly increase the availability
and reduce the operating and maintenance costs. Methods for predictive health monitoring …

[HTML][HTML] Auto-updating model-based control for thrust variation mitigation and acceleration performance enhancement of gas turbine aero-engines

Z Wei, S Zhang - Propulsion and Power Research, 2024 - Elsevier
Abstract Model-based control shows promising potential for engine performance
improvement and future aero-propulsion requirements. In this paper, an auto-updating thrust …

A prognostic and health management framework for aero-engines based on a dynamic probability model and LSTM network

Y Huang, J Tao, G Sun, H Zhang, Y Hu - Aerospace, 2022 - mdpi.com
In this study, a prognostics and health management (PHM) framework is proposed for aero-
engines, which combines a dynamic probability (DP) model and a long short-term memory …

Piecewise-scheduled thrust command control for in-service thrust performance improvement of gas turbine aero-engines: A hybrid fast design approach

Z Wei, S Zhang - Applied Thermal Engineering, 2025 - Elsevier
Gas turbine aero-engines including turbofans, as the dominant powerplant for modern civil
aircraft, convert the fossil energy in the jet fuel to propulsive forces via the thermo-dynamic …

An anomaly detection method for gas turbines based on single-condition training with zero-fault sample

Y Yue, H Wang, P Zhang, F Gu - Mechanical Systems and Signal …, 2025 - Elsevier
Enhancing anomaly detection performance is essential for effective gas turbine condition
monitoring and health maintenance. However, in industrial applications, gas turbine …

A method for aero-engine gas path anomaly detection based on Markov transition field and multi-LSTM

L Cui, C Zhang, Q Zhang, J Wang, Y Wang, Y Shi… - Aerospace, 2021 - mdpi.com
There are some problems such as uncertain thresholds, high dimension of monitoring
parameters and unclear parameter relationships in the anomaly detection of aero-engine …