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The monitoring of rotating machinery has now become a fundamental activity in the industry, given the high criticality in production processes. Extracting useful information from relevant signals is a key factor for effective monitoring: studies in t
Externí odkaz:
http://arxiv.org/abs/2212.01852
Artificial Intelligence (AI) is one of the approaches that has been proposed to analyze the collected data (e.g., vibration signals) providing a diagnosis of the asset's operating condition. It is known that models trained with labeled data (supervis
Externí odkaz:
http://arxiv.org/abs/2210.02974
Publikováno v:
In ISA Transactions December 2024 155:439-453
The monitoring of rotating machinery is an essential task in today's production processes. Currently, several machine learning and deep learning-based modules have achieved excellent results in fault detection and diagnosis. Nevertheless, to further
Externí odkaz:
http://arxiv.org/abs/2102.11848
Publikováno v:
In Expert Systems With Applications 1 December 2023 232
Autor:
Brito, Lucas Costa, Gomes, Milla Caroline, de Oliveira, Déborah, Bacci da Silva, Márcio, Viana Duarte, Marcus Antonio
Publikováno v:
In Precision Engineering January 2023 79:7-15
Autor:
Gomes, Milla Caroline, Brito, Lucas Costa, Bacci da Silva, Márcio, Viana Duarte, Marcus Antônio
Publikováno v:
In Precision Engineering January 2021 67:137-151
Autor:
Brito, Lucas Costa1 (AUTHOR) brito.lcb@gmail.com, da Silva, Márcio Bacci1 (AUTHOR), Duarte, Marcus Antonio Viana1 (AUTHOR)
Publikováno v:
Journal of Intelligent Manufacturing. 2021, Vol. 32 Issue 1, p127-140. 14p.
Akademický článek
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Publikováno v:
Informatics; Dec2021, Vol. 8 Issue 4, p85-85, 1p