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

Diogo Stuani Alves; Gregory Bregion Daniel; Helio Fiori Castro; Tiago Henrique Machado; Katia Lucchesi Cavalca; Ozhan Gecgel; João Paulo Dias; Stephen Ekwaro-Osire

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

Diogo Stuani Alves, Gregory Bregion Daniel, Helio Fiori Castro, Tiago Henrique Machado, Katia Lucchesi Cavalca, Ozhan Gecgel, João Paulo Dias, Stephen Ekwaro-Osire

Mechanical Engineering

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

Original language	English
Journal	Default journal
State	Published - Jul 1 2020

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title = "Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault",

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

year = "2020",

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language = "English",

journal = "Default journal",

publisher = "Current Opinion in Endocrinology Diabetes and Obesity",

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T1 - Uncertainty quantification in deep convolutional neural network diagnostics of journal bearings with ovalization fault

AU - Alves, Diogo Stuani

AU - Daniel, Gregory Bregion

AU - Castro, Helio Fiori

AU - Machado, Tiago Henrique

AU - Cavalca, Katia Lucchesi

AU - Gecgel, Ozhan

AU - Dias, João Paulo

AU - Ekwaro-Osire, Stephen

PY - 2020/7/1

Y1 - 2020/7/1

M3 - Article

JO - Default journal

JF - Default journal

ER -

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

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