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Ozhan Gecgel
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Journal Articles

Prognostics and Health Management of Wind Energy Infrastructure Systems

Celalettin Yüce, Ozhan Gecgel, Oğuz Doğan, Shweta Dabetwar, Yasar Yanik, Onur Can Kalay, Esin Karpat, Fatih Karpat, Stephen Ekwaro-Osire
Journal: ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
Publisher: ASME
Article Type: Review Articles
ASME J. Risk Uncertainty Part B. June 2022, 8(2): 020801.
Paper No: RISK-21-1020
https://doi.org/10.1115/1.4053422
Published Online: February 16, 2022
View Article titled, Prognostics and Health Management of Wind Energy Infrastructure Systems
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Topics: Digital twin, Machine learning, Physics, Uncertainty, Wind energy, Algorithms, Errors
Journal Articles

Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion

Ozhan Gecgel, Stephen Ekwaro-Osire, Utku Gulbulak, Tobias Souza Morais
Journal: Journal of Vibration and Acoustics
Publisher: ASME
Article Type: Research Papers
J. Vib. Acoust. June 2022, 144(3): 031003.
Paper No: VIB-21-1097
https://doi.org/10.1115/1.4052364
Published Online: October 6, 2021
View Article titled, Deep Convolutional Neural Network Framework for Diagnostics of Planetary Gearboxes Under Dynamic Loading With Feature-Level Data Fusion
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Topics: Artificial neural networks, Data fusion, Dynamic models, Finite element model, Fracture (Materials), Mechanical drives, Noise (Sound), Planetary gears, Stiffness, Gear teeth
Journal Articles

Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings

Ozhan Gecgel, João Paulo Dias, Stephen Ekwaro-Osire, Diogo Stuani Alves, Tiago Henrique Machado, Gregory Bregion Daniel, Helio Fiori de Castro, Katia Lucchesi Cavalca
Journal: Journal of Tribology
Publisher: ASME
Article Type: Technical Briefs
J. Tribol. August 2021, 143(8): 084501.
Paper No: TRIB-20-1168
https://doi.org/10.1115/1.4049067
Published Online: November 20, 2020
View Article titled, Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings
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Topics: Bearings, Journal bearings, Wear, Algorithms, Signals
Proceedings Papers

Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems

Stephen Ekwaro-Osire, Fisseha M. Alemayehu, Jamie Chapman, Ozhan Gecgel, Shweta Dabetwar, João Paulo Dias, Haileyesus B. Endeshaw
Proc. ASME. IMECE2016, Volume 6A: Energy, V06AT08A032, November 11–17, 2016
Publisher: American Society of Mechanical Engineers
Paper No: IMECE2016-67942
https://doi.org/10.1115/IMECE2016-67942
View Paper titled, Probabilistic Approach to Determine the Efficiency of Ocean Wave Energy Conversion Systems
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Topics: Wave energy, Reliability, Uncertainty, Manufacturing, Probability, Sensitivity analysis, Accounting, Air flow, Computer software, Failure