| Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault DS Alves, GB Daniel, HF de Castro, TH Machado, KL Cavalca, O Gecgel, ... Mechanism and Machine Theory 149, 103835, 2020 | 53 | 2020 |
| Detection of mass imbalance in the rotor of wind turbines using Support Vector Machine GR Hübner, H Pinheiro, CE De Souza, CM Franchi, LD Da Rosa, JP Dias Renewable Energy 170, 49-59, 2021 | 49 | 2021 |
| Parametric probabilistic approach for cumulative fatigue damage using double linear damage rule considering limited data JP Dias, S Ekwaro-Osire, A Cunha Jr, S Dabetwar, A Nispel, ... International Journal of Fatigue 127, 246-258, 2019 | 48 | 2019 |
| Gearbox fault diagnostics using deep learning with simulated data O Gecgel, S Ekwaro-Osire, JP Dias, A Serwadda, FM Alemayehu, ... 2019 IEEE international conference on prognostics and health management …, 2019 | 38 | 2019 |
| Damage classification of composites based on analysis of lamb wave signals using machine learning S Dabetwar, S Ekwaro-Osire, JP Dias ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021 | 29 | 2021 |
| Fatigue damage diagnostics of composites using data fusion and data augmentation with deep neural networks S Dabetwar, S Ekwaro-Osire, JP Dias Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2022 | 25 | 2022 |
| Damage classification of composites using machine learning S Dabetwar, S Ekwaro-Osire, JP Dias ASME international mechanical engineering congress and exposition 83501 …, 2019 | 23 | 2019 |
| Machine learning in crack size estimation of a spur gear pair using simulated vibration data O Gecgel, S Ekwaro-Osire, JP Dias, A Nispel, FM Alemayehu, ... Proceedings of the 10th International Conference on Rotor Dynamics–IFToMM …, 2019 | 21 | 2019 |
| Damage detection of composite materials using data fusion with deep neural networks S Dabetwar, S Ekwaro-Osire, JP Dias Turbo Expo: Power for Land, Sea, and Air 84225, V10BT27A019, 2020 | 18 | 2020 |
| Simulation-driven deep learning approach for wear diagnostics in hydrodynamic journal bearings O Gecgel, JP Dias, S Ekwaro-Osire, DS Alves, TH Machado, GB Daniel, ... Journal of Tribology 143 (8), 084501, 2021 | 15 | 2021 |
| Evaluation of fatigue crack propagation of gears considering uncertainties in loading and material properties HB Endeshaw, S Ekwaro-Osire, FM Alemayehu, JP Dias Sustainability 9 (12), 2200, 2017 | 15 | 2017 |
| Uncertainty quantification for fatigue life of offshore wind turbine structure A Nispel, S Ekwaro-Osire, JP Dias, A Cunha Jr ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2021 | 12 | 2021 |
| Probabilistic design and uncertainty quantification of the structure of a monopile offshore wind turbine A Nispel, S Ekwaro-Osire, JP Dias, A Cunha Jr ASME International Mechanical Engineering Congress and Exposition 83501 …, 2019 | 10 | 2019 |
| Uncertainty in Communication with a Sketch S Ekwaro-Osire, R Cruz-Lozano, HB Endeshaw, JP Dias Journal of Integrated Design and Process Science 20 (4), 43-60, 2017 | 10 | 2017 |
| A review of crack propagation modeling using peridynamics JP Dias, MA Bazani, AT Paschoalini, L Barbanti Probabilistic prognostics and health management of energy systems, 111-126, 2017 | 10 | 2017 |
| Dynamics of gas bubble growth in oil-refrigerant mixtures under isothermal depressurization JP Dias, JR Barbosa Jr, AT Prata Journal of the Brazilian Society of Mechanical Sciences and Engineering 34 …, 2012 | 10 | 2012 |
| Mathematical modeling of the Ester oil-refrigerant R134a mixture two-phase flow with foam formation through a small diameter tube JP Dias, JL Gasche, AL Seixlack Journal of the Brazilian Society of Mechanical Sciences and Engineering 33 …, 2011 | 10 | 2011 |
| Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems S Ekwaro-Osire, FM Alemayehu, J Chapman, O Gecgel, S Dabetwar, ... ASME International Mechanical Engineering Congress and Exposition 50589 …, 2016 | 7 | 2016 |
| Mass imbalance diagnostics in wind turbines using deep learning with data augmentation S Dabetwar, S Ekwaro-Osire, JP Dias, GR Hübner, CM Franchi, ... ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2023 | 6 | 2023 |
| A parametric probabilistic approach to quantify uncertainties in a non-linear cumulative fatigue damage model considering limited data JP Dias, S Ekwaro-Osire, A Cunha Jr, FM Alemayehu, S Dabetwar, ... Twelfth International Conference on Fatigue Damage of Structural Materials …, 2018 | 6 | 2018 |
stephen Ekwaro-OsireProfessor of Mechanical Engineering, Texas Tech UniveristyEmail verificata su ttu.edu