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

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

Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	084501
Journal	Journal of Tribology
State	Published - Aug 2021

Cite this

@article{20920327e1d44c17bb5cbdb72dd4a348,

title = "Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings",

author = "Ozhan Gecgel and Dias, {Jo{\~a}o Paulo} and Stephen Ekwaro-Osire and Alves, {Diogo Stuani} and Machado, {Tiago Henrique} and Daniel, {Gregory Bregion} and Castro, {Helio Fiori de} and Cavalca, {Katia Lucchesi}",

year = "2021",

month = aug,

language = "English",

pages = "084501",

journal = "Journal of Tribology",

issn = "0742-4787",

}

Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings. / Gecgel, Ozhan; Dias, João Paulo; Ekwaro-Osire, Stephen; Alves, Diogo Stuani; Machado, Tiago Henrique; Daniel, Gregory Bregion; Castro, Helio Fiori de; Cavalca, Katia Lucchesi.

In: Journal of Tribology, 08.2021, p. 084501.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - Simulation-Driven Deep Learning Approach for Wear Diagnostics in Hydrodynamic Journal Bearings

AU - Gecgel, Ozhan

AU - Dias, João Paulo

AU - Ekwaro-Osire, Stephen

AU - Alves, Diogo Stuani

AU - Machado, Tiago Henrique

AU - Daniel, Gregory Bregion

AU - Castro, Helio Fiori de

AU - Cavalca, Katia Lucchesi

PY - 2021/8

Y1 - 2021/8

M3 - Article

SP - 084501

JO - Journal of Tribology

JF - Journal of Tribology

SN - 0742-4787

ER -

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

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