Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Fabio Norikazu Kashiwagi"'
Autor:
Fabio Henrique Pereira, Arthur Henrique de Andrade Melani, Fabio Norikazu Kashiwagi, Tiago Gaspar da Rosa, Uerviton Silva dos Santos, Gilberto Francisco Martha de Souza
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10210 (2023)
Maintenance policies are crucial for ensuring the reliability, safety, and longevity of a system, as well as reducing the risk of accidents. Preventive maintenance (PM) is an effective strategy to keep equipment and systems in good working order by f
Externí odkaz:
https://doaj.org/article/a5cc49bc1f3e4264aac785bf5422cacb
Autor:
Tiago Gaspar da Rosa, Arthur Henrique de Andrade Melani, Fabio Henrique Pereira, Fabio Norikazu Kashiwagi, Gilberto Francisco Martha de Souza, Gisele Maria De Oliveira Salles
Publikováno v:
Sensors, Vol 22, Iss 24, p 9738 (2022)
This paper presents a generic framework for fault prognosis using autoencoder-based deep learning methods. The proposed approach relies upon a semi-supervised extrapolation of autoencoder reconstruction errors, which can deal with the unbalanced prop
Externí odkaz:
https://doaj.org/article/fa595c38fc654b4582f66f21c3d9d05a