Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Gisele Maria de Oliveira Salles"'
Autor:
Edilson Machado De Assis, Celso Luiz Santiago Figueiroa Filho, Gabriel Alves Da Costa Lima, Luis Augusto Nagasaki Costa, Gisele Maria De Oliveira Salles
Publikováno v:
IEEE Access, Vol 8, Pp 203331-203346 (2020)
Brushes are critical components in power generation equipment. The interruptions in brush operation because they have failed in their service can cause financial losses avoidable by proper maintenance planning. Therefore, this article aims to offer a
Externí odkaz:
https://doaj.org/article/d2c718496d024416b066d6b6a6f0fe88
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
Autor:
Gisele Maria de Oliveira Salles, Gabriel Alves Da Costa Lima, Edilson Machado de Assis, Celso Luiz Santiago Figueiroa Filho, Ailton Pinto
Publikováno v:
International Journal of Quality & Reliability Management. 39:258-279
PurposeThe purpose of this article is to compare maintenance policies based on Weibull and q-Weibull models.Design/methodology/approachThis paper uses analytical developments, several figures and tables for graphical and numerical comparison. Previou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e45f023d56ec0439066ec3b461d50d1
https://doi.org/10.1108/ijqrm-09-2019-0283
https://doi.org/10.1108/ijqrm-09-2019-0283
Autor:
Luis Augusto Nagasaki Costa, Gisele Maria de Oliveira Salles, Gabriel Alves Da Costa Lima, Edilson Machado de Assis, Celso Luiz Santiago Figueiroa Filho
Publikováno v:
IEEE Access, Vol 8, Pp 203331-203346 (2020)
Brushes are critical components in power generation equipment. The interruptions in brush operation because they have failed in their service can cause financial losses avoidable by proper maintenance planning. Therefore, this article aims to offer a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4cb6aa41ccb5c696933c0235e352988d
https://doi.org/10.1109/access.2020.3036819
https://doi.org/10.1109/access.2020.3036819
Autor:
G A Costa Lima, Gisele Maria de Oliveira Salles, A Pinto, Luis Augusto Nagasaki Costa, A M Teodoro Filho
Publikováno v:
Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::419ab1b73d10982a3b58aebe311319ce
https://doi.org/10.3850/978-981-14-8593-0_4576-cd
https://doi.org/10.3850/978-981-14-8593-0_4576-cd