| 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 | 115 | 2019 |
| 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 | 49 | 2019 |
| Gas turbine gas path diagnostics: A review AD Fentaye, SIUH Gilani, AT Baheta MATEC web of conferences 74, 2016 | 23 | 2016 |
| 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, 1-17, 2018 | 20 | 2018 |
| Probabilistic model for aero-engines fleet condition monitoring V Zaccaria, AD Fentaye, M Stenfelt, KG Kyprianidis Aerospace 7 (6), 66, 2020 | 19 | 2020 |
| Aircraft engine performance monitoring and diagnostics based on deep convolutional neural networks AD Fentaye, V Zaccaria, K Kyprianidis Machines 9 (12), 337, 2021 | 16 | 2021 |
| 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, 5593-5602, 2017 | 16 | 2017 |
| Gas turbine gas-path fault identification using nested artificial neural networks AD Fentaye, AT Baheta, SIUH Gilani Aircraft Engineering and Aerospace Technology 90 (6), 992-999, 2018 | 12 | 2018 |
| 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, 1-29, 2021 | 8 | 2021 |
| 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 | 8 | 2020 |
| 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 | 6 | 2022 |
| 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 | 6 | 2021 |
| A Review on Gas Turbine Gas-Path Diagnostics: State-of-the-Art Methods, Challenges and Opportunities. Aerospace 2019, 6, 83 AD Fentaye, AT Baheta, SI Gilani, KG Kyprianidis | 6 | |
| 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 | 5 | 2022 |
| 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 | 5 | 2021 |
| An intelligent data filtering and fault detectionmethod for gas turbine engines AD Fentaye, K Kyprianidis International Cross-Industry Safety Conference (ICSC)–International …, 2020 | 5 | 2020 |
| 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 | 4 | 2021 |
| Three Shaft Industrial Gas Turbine Transient Performance Analysis WM Salilew, ZA Abdul Karim, TA Lemma, AD Fentaye, KG Kyprianidis Sensors 23 (4), 1767, 2023 | 3 | 2023 |
| 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 | 3 | 2020 |
| CFD analysis of fouling effects on aerodynamics performance of turbine blades AT Baheta, KP Leong, SA Sulaiman, AD Fentaye Rotating Machineries: Aspects of Operation and Maintenance, 73-84, 2019 | 2 | 2019 |
Syed Ihtsham ul Haq GilaniUniversity Technology PetronasVerified email at petronas.com.my
