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Amare Desalegn Fentaye
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Year
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 6 (7), 83, 2019
812019
Performance-based fault diagnosis of a gas turbine engine using an integrated support vector machine and artificial neural network method
AD Fentaye, SI Ul-Haq Gilani, AT Baheta, YG Li
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2019
392019
Gas path fault diagnostics using a hybrid intelligent method for industrial gas turbine engines
DF Amare, TB Aklilu, SI Gilani
Journal of the Brazilian Society of Mechanical Sciences and Engineering 40 …, 2018
182018
Gas turbine gas path diagnostics: A review
AD Fentaye, SIUH Gilani, AT Baheta
MATEC Web of conferences 74, 00005, 2016
182016
Two-shaft stationary gas turbine engine gas path diagnostics using fuzzy logic
FD Amare, SI Gilani, BT Aklilu, A Mojahid
Journal of Mechanical Science and Technology 31 (11), 5593-5602, 2017
142017
Probabilistic model for aero-engines fleet condition monitoring
V Zaccaria, AD Fentaye, M Stenfelt, KG Kyprianidis
Aerospace 7 (6), 66, 2020
132020
Gas turbine gas-path fault identification using nested artificial neural networks
AD Fentaye, AT Baheta, SIUH Gilani
Aircraft Engineering and Aerospace Technology, 2018
112018
Aircraft engine performance monitoring and diagnostics based on deep convolutional neural networks
AD Fentaye, V Zaccaria, K Kyprianidis
Machines 9 (12), 337, 2021
62021
Discrimination of rapid and gradual deterioration for an enhanced gas turbine life-cycle monitoring and diagnostics
A Fentaye, V Zaccaria, K Kyprianidis
International Journal of Prognostics and Health Management 12 (3), 2021
52021
Hybrid model-based and data-driven diagnostic algorithm for gas turbine engines
A Fentaye, V Zaccaria, M Rahman, M Stenfelt, K Kyprianidis
Turbo Expo: Power for Land, Sea, and Air 84140, V005T05A008, 2020
52020
A review on gas tur-bine gas-path diagnostics: State-of-the-art methods, challenges and opportunities, Aerospace, 2019, vol. 6
A Fentaye, A Baheta, S Gilani, K Kyprianidis
5
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 9 (12), 308, 2021
32021
A Framework for Learning System for Complex Industrial Processes
M Rahman, AD Fentaye, V Zaccaria, I Aslanidou, E Dahlquist, ...
AI and Learning Systems-Industrial Applications and Future Directions, 2021
32021
Effects of performance deterioration on gas path measurements in an industrial gas turbine
DF Amare, TB Aklilu, SI Gilani
32006
Predicting the Performance Deterioration of a Three-Shaft Industrial Gas Turbine
WM Salilew, ZA Abdul Karim, TA Lemma, AD Fentaye, KG Kyprianidis
Entropy 24 (8), 1052, 2022
22022
Assessment of dynamic Bayesian models for gas turbine diagnostics, Part 1: Prior probability analysis
V Zaccaria, AD Fentaye, K Kyprianidis
Machines 9 (11), 298, 2021
22021
Development of web-based short courses on control, diagnostics, and instrumentation
I Aslanidou, V Zaccaria, AD Fentaye, KG Kyprianidis
Turbo Expo: Power for Land, Sea, and Air 84157, V006T08A004, 2020
22020
An intelligent data filtering and fault detection method for gas turbine engines
AD Fentaye, KG Kyprianidis
MATEC Web of Conferences 314, 02007, 2020
22020
CFD analysis of fouling effects on aerodynamics performance of turbine blades
AT Baheta, KP Leong, SA Sulaiman, AD Fentaye
Rotating Machineries, 73-84, 2019
22019
The Effect of Physical Faults on a Three-Shaft Gas Turbine Performance at Full-and Part-Load Operation
WM Salilew, ZA Abdul Karim, TA Lemma, AD Fentaye, KG Kyprianidis
Sensors 22 (19), 7150, 2022
2022
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