A Simulation-Driven Deep Learning Approach for Condition Monitoring of Hydrodynamic Journal Bearings. Part II: Diagnostics of Ovalization Faults

Ozhan Gecgel; Stephen Ekwaro-Osire; Joao Paulo Dias; G B Daniel; D S Alves; H F de Castro

A Simulation-Driven Deep Learning Approach for Condition Monitoring of Hydrodynamic Journal Bearings. Part II: Diagnostics of Ovalization Faults

Ozhan Gecgel, Stephen Ekwaro-Osire, Joao Paulo Dias, G B Daniel, D S Alves, H F de Castro

Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

Original language	English
State	Published - Oct 2019

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@conference{4efe567ebf5343b99b2a3bad2a6a7f9c,

title = "A Simulation-Driven Deep Learning Approach for Condition Monitoring of Hydrodynamic Journal Bearings. Part II: Diagnostics of Ovalization Faults",

author = "Ozhan Gecgel and Stephen Ekwaro-Osire and Dias, {Joao Paulo} and Daniel, {G B} and Alves, {D S} and Castro, {H F de}",

year = "2019",

month = oct,

language = "English",

}

A Simulation-Driven Deep Learning Approach for Condition Monitoring of Hydrodynamic Journal Bearings. Part II: Diagnostics of Ovalization Faults

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