Ozhan Gecgel

Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault

Diogo Stuani Alves, Gregory Bregion Daniel, Hélio Fiori de Castro et al. · Mechanism and Machine Theory · 2020 · 64 citations

Computing, Computational Engineering, Computer Science +17

Gearbox Fault Diagnostics Using Deep Learning with Simulated Data

Ozhan Gecgel, Stephen Ekwaro-Osire, João‐Paulo Dias et al. · 2019 · 35 citations

Computing, Computer Science, Mechanical Engineering +17

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

Ozhan Gecgel, João‐Paulo Dias, Stephen Ekwaro-Osire et al. · Journal of Tribology · 2020 · 22 citations

Engineering, Computer Science, Mechanical Engineering +17

Prognostics and Health Management of Wind Energy Infrastructure Systems

Celalettin Yüce, Ozhan Gecgel, Oğuz Doǧan et al. · ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering · 2022 · 21 citations

Computing, Computer Science, Machine Learning +11

A deep learning application to approximate the geometric orifice and coaptation areas of the polymeric heart valves under time – varying transvalvular pressure

Utku Gülbulak, Ozhan Gecgel, A. Ertas · Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials · 2021 · 12 citations

Medicine, Biomedical Engineering, Cardiology +17