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pro vyhledávání: '"Ricardo Emmanuel Vaz Vargas"'
Autor:
Ilan Sousa Figueirêdo, Tássio Farias Carvalho, Wenisten Dantas da Silva, Lílian Lefol Nani Guarieiro, Alex Alisson Bandeira Santos, Leonildes Soares De Melo Filho, Ricardo Emmanuel Vaz Vargas, Erick Giovani Sperandio Nascimento
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 19, Iss 7, Pp 217-247 (2021)
Deep Learning (DP) models have been successfully applied to detect and predict failures in rotating machines. However, these models are often based on the supervised learning paradigm and require annotated data with operational status labels (e.g. no
Externí odkaz:
https://doaj.org/article/3ea65b4aa5eb4a2e97e15323f17a0502
