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Ozhan Gecgel
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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
482020
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
322019
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
202019
Prognostics and health management of wind energy infrastructure systems
C Yüce, O Gecgel, O Doğan, S Dabetwar, Y Yanik, OC Kalay, E Karpat, ...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2022
142022
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
112021
A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time–varying transvalvular pressure
U Gulbulak, O Gecgel, A Ertas
Journal of the Mechanical Behavior of Biomedical Materials 117, 104371, 2021
92021
Condition monitoring of gearbox components using deep learning with simulated vibration data
O Gecgel
72019
Deep convolutional neural network framework for diagnostics of planetary gearboxes under dynamic loading with feature-level data fusion
O Gecgel, S Ekwaro-Osire, U Gulbulak, TS Morais
Journal of Vibration and Acoustics 144 (3), 031003, 2022
62022
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
62016
Selective Electrochemical Detection of SARS-CoV-2 Using Deep Learning
O Gecgel, A Ramanujam, GG Botte
Viruses 14 (9), 1930, 2022
52022
SARS-CoV-2 surveillance in indoor air using electrochemical sensor for continuous monitoring and real-time alerts
F Lu, O Gecgel, A Ramanujam, GG Botte
Biosensors 12 (7), 523, 2022
42022
Selective Electrochemical Detection of SARS-CoV-2 Using Deep Learning. Viruses 2022, 14, 1930
O Gecgel, A Ramanujam, GG Botte
s Note: MDPI stays neu-tral with regard to jurisdictional claims in …, 2022
12022
A Simulation-Driven Deep Learning Approach for Condition Monitoring of Hydrodynamic Journal Bearings. Part I: Diagnostics of Wear Faults
DS Alves, TH Machado, KL Cavalca, O Gecgel, JPP Dias, S Ekwaro-Osire
12019
A Simulation-Driven Deep Learning Approach for Condition Monitoring of Hydrodynamic Journal Bearings. PART II: DIAGNOSTICS OF OVALIZATION FAULTS
O Gecgel, S Ekwaro-Osire, JPP Dias, GB Daniel, DS Alves, HF de Castro
12019
Probabilistic Model-Based Prognostics Using Meshfree Modeling
S Ekwaro-Osire, HB Endeshaw, FM Alemayehu, O Gecgel
Probabilistic Prognostics and Health Management of Energy Systems, 67-90, 2017
12017
(Invited) Ammonia Electrolysis from Fundamentals to Scale up
CE Alvarez Pugliese, O Gecgel, GG Botte
Electrochemical Society Meeting Abstracts 244, 2417-2417, 2023
2023
Investigating Adsorption Capacities of Treated Sewage Byproducts for Their Potential Use As Fertilizer
K Coyle, L Slaughter, C Alvarez-Pugliese, O Gecgel, GG Botte, O Mbuya, ...
ASA, CSSA, SSSA International Annual Meeting, 2023
2023
(Invited) Ammonia Electrolysis from Fundamentals to Scale up
CEA Pugliese, O Gecgel, GG Botte
244th ECS Meeting (October 8-12, 2023), 2023
2023
A Framework for Wind Farm Wake Interactions
TS Morais, O Gecgel, S Ekwaro-Osire
2022
Diagnostics of Bearing Wear in an Experimental Setup Using a Convolutional Neural Network Trained Only with Simulated Data
O Gecgel, S Ekwaro-Osire, JP Dias, DS Alves, TH Machado, GB Daniel, ...
2022
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