A review on gas turbine gas-path diagnostics: State-of-the-art methods, challenges and opportunities

AD Fentaye, AT Baheta, SI Gilani, KG Kyprianidis - Aerospace, 2019 - mdpi.com
Gas-path diagnostics is an essential part of gas turbine (GT) condition-based maintenance
(CBM). There exists extensive literature on GT gas-path diagnostics and a variety of …

[HTML][HTML] Signatures of compressor and turbine faults in gas turbine performance diagnostics: A review

K Mathioudakis, A Alexiou, N Aretakis, C Romesis - Energies, 2024 - mdpi.com
A review of existing research on signatures of gas turbine faults is presented. Faults that
influence the aerothermodynamic performance of compressors and turbines, such as …

An overhaul cycle performance degradation modeling method for marine gas turbines

J Luan, Y Cao, R Ao, X Han, S Li - ISA transactions, 2024 - Elsevier
A degradation modeling method of marine gas turbines for the overhaul cycle is proposed to
address the problem of insufficient data sets for fault diagnosis and trend prediction …

Gas turbine performance digital twin for real-time embedded systems

V Panov, S Cruz-Manzo - … Expo: Power for …, 2020 - asmedigitalcollection.asme.org
This contribution reports on the development of Performance Digital Twin for industrial Small
Gas Turbines. The objective of this study was the development of automation systems with …

[HTML][HTML] Control-Oriented System Identification of Turbojet Dynamics

F Villarreal-Valderrama, E Liceaga-Castro… - Aerospace, 2024 - mdpi.com
The autonomous operation of turbojets requires reliable, accurate, and manageable
dynamical models for several key processes. This article describes a practical robust …

[HTML][HTML] Development of big data lean optimisation using different control mode for Gas Turbine engine health monitoring

G Musa, M Alrashed, NM Muhammad - Energy Reports, 2021 - Elsevier
In the era of big data lean optimisation, a technologically advanced tool for Gas Turbine (GT)
performance analysis is necessary. This need is due to big data taken every 5 min of about 4 …

Extreme learning machine-based diagnostics for component degradation in a microturbine

N Menga, A Mothakani, MG De Giorgi, R Przysowa… - Energies, 2022 - mdpi.com
Micro turbojets are used for propelling radio-controlled aircraft, aerial targets, and personal
air vehicles. When compared to full-scale engines, they are characterized by relatively low …

Simultaneous fault diagnostics for three-shaft industrial gas turbine

WM Salilew, SI Gilani, TA Lemma, AD Fentaye… - Machines, 2023 - mdpi.com
The study focused on the development of-gas turbine full-and part-load operation
diagnostics. The gas turbine performance model was developed using commercial software …

An Onboard Adaptive Model for Aero-Engine Performance Fast Estimation

Z Jiang, S Yang, X Wang, Y Long - Aerospace, 2022 - mdpi.com
The onboard adaptive model is essential to the model-based control and diagnosis of the
engine. However, current methods, such as the Kalman-based and the data-driven ones …

Assessment of dynamic Bayesian models for gas turbine diagnostics, Part 2: Discrimination of gradual degradation and rapid faults

V Zaccaria, AD Fentaye, K Kyprianidis - Machines, 2021 - mdpi.com
There are many challenges that an effective diagnostic system must overcome for successful
fault diagnosis in gas turbines. Among others, it has to be robust to engine-to-engine …