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 …

Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks

D Zhou, Q Yao, H Wu, S Ma, H Zhang - Energy, 2020 - Elsevier
The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The
data-driven diagnostic model has been verified useful for identifying and characterizing …

NARX models for simulation of the start-up operation of a single-shaft gas turbine

H Asgari, XQ Chen, M Morini, M Pinelli… - Applied Thermal …, 2016 - Elsevier
In this study, nonlinear autoregressive exogenous (NARX) models of a heavy-duty single-
shaft gas turbine (GT) are developed and validated. The GT is a power plant gas turbine …

Gas path component fault diagnosis of an industrial gas turbine under different load condition using online sequential extreme learning machine

M Montazeri-Gh, A Nekoonam - Engineering Failure Analysis, 2022 - Elsevier
One of the challenges that data-based gas path component monitoring systems are facing,
is the poor performance in those operational conditions that are not considered in the …

Artificial Intelligence Applications in Telecommunications and other network industries

RE Balmer, SL Levin, S Schmidt - Telecommunications Policy, 2020 - Elsevier
Artificial intelligence applications in network industries have the potential to reduce network
roll-out and operating costs, improve performance, enhance customer service, and support …

Artificial neural network–based system identification for a single-shaft gas turbine

H Asgari, XQ Chen, MB Menhaj… - … of Engineering for …, 2013 - asmedigitalcollection.asme.org
During recent decades, artificial intelligence has been employed as a powerful tool for
identification of complex industrial systems with nonlinear dynamics, such as gas turbines …

A fuzzy-based gas turbine fault detection and identification system for full and part-load performance deterioration

E Mohammadi, M Montazeri-Gh - Aerospace Science and Technology, 2015 - Elsevier
Considering the fact that the signs of performance deterioration in the main components of
gas turbines vary in different operating points, thus designing a Fault Detection and …

A diagnostics tool for aero-engines health monitoring using machine learning technique

MG De Giorgi, S Campilongo, A Ficarella - Energy Procedia, 2018 - Elsevier
In this work an integrated heath monitoring platform is proposed and developed for
performance analysis and degradation diagnostics of gas turbine engines. The aim is to link …

Modelling and simulation of gas turbines

H Asgari, XQ Chen, R Sainudiin - International Journal of …, 2013 - inderscienceonline.com
Today, gas turbines (GTs) are one of the major parts of modern industry. They have played a
key role in aeronautical industry, power generation, and main mechanical drivers for large …

[PDF][PDF] Diagnostic Methods for an Aircraft Engine Performance.

EL Ntantis, PN Botsaris - Journal of Engineering Science & Technology …, 2015 - jestr.org
The main gas path components, namely compressor and turbine, are inherently reliable but
the operation of the aero engines under hostile environments, results into engine …