| A Physics-informed Neural Network for Wind Turbine Main Bearing Fatigue YA Yucesan, FAC Viana International Journal of Prognostics and Health Management 11 (1), 17, 2020 | 85 | 2020 |
| Estimating model inadequacy in ordinary differential equations with physics-informed neural networks FAC Viana, RG Nascimento, A Dourado, YA Yucesan Computers & Structures 245, 106458, 2021 | 55 | 2021 |
| A survey of modeling for prognosis and health management of industrial equipment YA Yucesan, A Dourado, FAC Viana Advanced Engineering Informatics 50, 101404, 2021 | 51 | 2021 |
| Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection YA Yucesan, FAC Viana Computers in Industry 125, 103386, 2021 | 47 | 2021 |
| A hybrid physics-informed neural network for main bearing fatigue prognosis under grease quality variation YA Yucesan, FAC Viana Mechanical Systems and Signal Processing 171 (Physics-informed ML PHM), 108875, 2022 | 44 | 2022 |
| Adjusting a torsional vibration damper model with physics-informed neural networks YA Yucesan, FAC Viana, L Manin, J Mahfoud Mechanical Systems and Signal Processing 154, 107552, 2021 | 28 | 2021 |
| Uncertainty aware anomaly detection to predict errant beam pulses in the Oak Ridge Spallation Neutron Source accelerator W Blokland, K Rajput, M Schram, T Jeske, P Ramuhalli, C Peters, ... Physical Review Accelerators and Beams 25 (12), 122802, 2022 | 21 | 2022 |
| Wind Turbine Main Bearing Fatigue Life Estimation with Physics-informed Neural Networks YA Yucesan, FAC Viana Annual conference of the PHM society 11 (1), 1-14, 2019 | 18 | 2019 |
| Onshore wind turbine main bearing reliability and its implications in fleet management YA Yucesan, F Viana AIAA Scitech 2019 Forum, 1225, 2019 | 15 | 2019 |
| A hybrid model for main bearing fatigue prognosis based on physics and machine learning YA Yucesan, F Viana AIAA Scitech 2020 forum, 1412, 2020 | 14 | 2020 |
| Physics-informed neural networks package FAC Viana, RG Nascimento, YA Yucesan, A Dourado Zenodo. Retrieved from, 2019 | 14 | 2019 |
| Estimating parameters and discrepancy of computer models with graphs and neural networks YA Yucesan, A Von Zuben, F Viana, J Mahfoud AIAA AVIATION 2020 FORUM, 3123, 2020 | 8 | 2020 |
| Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks Y Yucesan, FAC Viana https://doi.org/10.5281/zenodo.3355725, 2019 | 7* | 2019 |
| A Hybrid Model for Wind Turbine Main Bearing Fatigue with Uncertainty in Grease Observations YA Yucesan, F Viana Annual Conference of the PHM Society 12 (1), 14-14, 2020 | 4 | 2020 |
| Physics-informed digital twin for wind turbine main bearing fatigue: Quantifying uncertainty in grease degradation YA Yucesan, FAC Viana Applied Soft Computing 149, 110921, 2023 | 3 | 2023 |
| Uçak gövdesi kiriş yapılarında kullanılan hafifletme deliklerinin şekil eniyilemesi YA Yücesan Yüksek Lisans Tezi, 2018 | 2 | 2018 |
| A machine learning approach for particle accelerator errant beam prediction using spatial phase deviation YA Yucesan, W Blokland, P Ramuhalli, A Zhukov, C Peters, D Brown, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2024 | | 2024 |
| Predictive Analytics for Hydropower Fleet Intelligence Y Yucesan, P Ramuhalli, Y Chen, J Miller, E Hanson, S Signore Annual Conference of the PHM Society 15 (1), 2023 | | 2023 |
| Errant Beam Detection Using the AMD Versal ACAP and Vitis AI AM Cabrera, YA Yucesan, FY Liu, W Blokland, JS Vetter 2023 IEEE High Performance Extreme Computing Conference (HPEC), 1-6, 2023 | | 2023 |
| Uncertainty aware anomaly detection to predict errant beam pulses in the Oak Ridge Spallation Neutron Source accelerator W Blokl, K Rajput, M Schram, T Jeske, P Ramuhalli, C Peters, Y Yucesan, ... Physical Review. Accelerators and Beams 25 (12), 2022 | | 2022 |
Felipe A. C. VianaHead of Applied ResearchZweryfikowany adres z articul8.ai
