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pro vyhledávání: '"Leilton Santos da Silva"'
Autor:
Arnaldo Rabello de Aguiar Vallim Filho, Daniel Farina Moraes, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva, Leandro Augusto da Silva
Publikováno v:
Energies, Vol 15, Iss 10, p 3724 (2022)
From a practical point of view, a turbine load cycle (TLC) is defined as the time a turbine in a power plant remains in operation. TLC is used by many electric power plants as a stop indicator for turbine maintenance. In traditional operations, a max
Externí odkaz:
https://doaj.org/article/350b9356c87c4a72a93cb7c4cc2a2bfd
Autor:
Giovanni Gravito de Carvalho Chrysostomo, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva, Leandro A. Silva, Arnaldo Rabello de Aguiar Vallim Filho
Publikováno v:
Energies, Vol 13, Iss 22, p 6014 (2020)
This paper presents an application of a framework for Big Data Analytical Process and Mapping—BAProM—consisting of four modules: Process Mapping, Data Management, Data Analysis, and Predictive Modeling. The framework was conceived as a decision s
Externí odkaz:
https://doaj.org/article/2d5ec9312bb441a0af462baf1a04d268
Autor:
Gustavo Scalabrini Sampaio, Arnaldo Rabello de Aguiar Vallim Filho, Leilton Santos da Silva, Leandro Augusto da Silva
Publikováno v:
Sensors, Vol 19, Iss 19, p 4342 (2019)
Industry is constantly seeking ways to avoid corrective maintenance so as to reduce costs. Performing regular scheduled maintenance can help to mitigate this problem, but not necessarily in the most efficient way. In the context of condition-based ma
Externí odkaz:
https://doaj.org/article/2a36b07ad77c42d5b2771e3523c06c33
Autor:
Leilton Santos da Silva
Publikováno v:
Biblioteca Digital de Teses e Dissertações da UNITAUUniversidade de TaubatéUNITAU.
Este trabalho tem o objetivo de propor uma modificação técnica e conceitual no sistema de segurança dos geradores e condutos forçados nos 1 e 2 da Usina Henry Borden, em Cubatão São Paulo, com a finalidade de reduzir os golpes de aríete no co
Autor:
Leandro Augusto da Silva, Marco Vinicius Bhering de Aguiar Vallim, Leilton Santos da Silva, Giovanni Gravito de Carvalho Chrysostomo, Arnaldo Rabello de Aguiar Vallim Filho
Publikováno v:
Energies, Vol 13, Iss 6014, p 6014 (2020)
Energies
Volume 13
Issue 22
Energies
Volume 13
Issue 22
This paper presents an application of a framework for Big Data Analytical Process and Mapping&mdash
BAProM&mdash
consisting of four modules: Process Mapping, Data Management, Data Analysis, and Predictive Modeling. The framework was conceiv
BAProM&mdash
consisting of four modules: Process Mapping, Data Management, Data Analysis, and Predictive Modeling. The framework was conceiv