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

Autor:	Diogo Stuani Alves, Ozhan Gecgel, João Paulo Dias, Tiago Henrique Machado, Katia Lucchesi Cavalca, Stephen Ekwaro-Osire
Rok vydání:	2019
Předmět:	Computer science business.industry Deep learning Condition monitoring Artificial intelligence business Marine engineering
Zdroj:	Proceedings of the 25th International Congress of Mechanical Engineering.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ff31d8035f2ec25e99fc9e009029dfa7 https://doi.org/10.26678/abcm.cobem2019.cob2019-0706 Zobrazit plný text záznamu