| 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 | 163 | 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 | 60 | 2019 |
| Aircraft engine performance monitoring and diagnostics based on deep convolutional neural networks AD Fentaye, V Zaccaria, K Kyprianidis Machines 9 (12), 337, 2021 | 35 | 2021 |
| Probabilistic model for aero-engines fleet condition monitoring V Zaccaria, AD Fentaye, M Stenfelt, KG Kyprianidis Aerospace 7 (6), 66, 2020 | 23 | 2020 |
| 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 | 23 | 2018 |
| Gas turbine gas path diagnostics: A review AD Fentaye, SIUH Gilani, AT Baheta MATEC web of conferences 74, 00005, 2016 | 23 | 2016 |
| 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 | 21 | 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 | 14 | 2018 |
| 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 | 13 | 2022 |
| 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 | 11 | 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 | 11 | 2020 |
| 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 | 8 | 2022 |
| An intelligent data filtering and fault detection method for gas turbine engines AD Fentaye, KG Kyprianidis MATEC Web of Conferences 314, 02007, 2020 | 8 | 2020 |
| 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 | 7 | 2021 |
| 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 | 7 | 2021 |
| Effects of performance deterioration on gas path measurements in an industrial gas turbine DF Amare, TB Aklilu, SI Gilani ARPN J. of Engineering and Applied Sciences 11, 14202-14207, 2016 | 7 | 2016 |
| Three shaft industrial gas turbine transient performance analysis WM Salilew, ZA Abdul Karim, TA Lemma, AD Fentaye, KG Kyprianidis Sensors 23 (4), 1767, 2023 | 6 | 2023 |
| 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 | 6 | 2021 |
| An artificial neural network-based fault diagnostics approach for hydrogen-fueled micro gas turbines MB Hashmi, M Mansouri, AD Fentaye, S Ahsan, K Kyprianidis Energies 17 (3), 719, 2024 | 4 | 2024 |
| Development and validation of a twin shaft industrial gas turbine performance model SASG Aklilu Tesfamichael Baheta, Mojahid Sidahmed, Shaharin Anuar Suleiman ... ARPN Journal of Engineering and Applied Sciences 11 (22), 13365 - 13371, 2016 | 4 | 2016 |
Syed Ihtsham ul Haq Gilani, Ph.D. C.E...University Technology PetronasVerified email at petronas.com.my
