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

D S Alves, T H Machado, K L Cavalca, Ozhan Gecgel, Joao Paulo Dias, Stephen Ekwaro-Osire

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

Original language	English
State	Published - Oct 2019

Cite this

@conference{9f43e584daa7471ba0eb73bd753959f8,

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

author = "Alves, {D S} and Machado, {T H} and Cavalca, {K L} and Ozhan Gecgel and Dias, {Joao Paulo} and Stephen Ekwaro-Osire",

year = "2019",

month = oct,

language = "English",

}