Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Ricardo Mayo Bayón"'
Autor:
Fernando Sánchez Lasheras, Paulino José García Nieto, Francisco Javier de Cos Juez, Ricardo Mayo Bayón, Victor Manuel González Suárez
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 7062-7083 (2015)
Prognostics is an engineering discipline that predicts the future health of a system. In this research work, a data-driven approach for prognostics is proposed. Indeed, the present paper describes a data-driven hybrid model for the successful predict
Externí odkaz:
https://doaj.org/article/9ae19c8ee922434ba183a70cd38e0a0b
Autor:
Ricardo Mayo Bayón, Víctor M. González Suárez, Felipe Mateos Martín, Juan M. Lopera Ronda, Juan C. Álvarez Antón
Publikováno v:
Sensors, Vol 14, Iss 8, Pp 14712-14731 (2014)
Tunnel ovens are widely used in the food industry to produce biscuits and pastries. In order to obtain a high quality product, it is very important to control the heat transferred to each piece of dough during baking. This paper proposes an innovativ
Externí odkaz:
https://doaj.org/article/7f6878603a52421880a66f1c9613805a
Autor:
Paulino José García Nieto, José Ángel Sirgo Blanco, J.C. Anton, Víctor Manuel González Suárez, Ana María Díaz Fernández, Ricardo Mayo Bayón
Publikováno v:
Materials, Vol 8, Iss 6, Pp 3562-3583 (2015)
Scopus
Materials
Volume 8
Issue 6
Pages 3562-3583
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
Scopus
Materials
Volume 8
Issue 6
Pages 3562-3583
RUO. Repositorio Institucional de la Universidad de Oviedo
instname
The aim of this study was to obtain a predictive model able to perform an early detection of central segregation severity in continuous cast steel slabs. Segregation in steel cast products is an internal defect that can be very harmful when slabs are
Autor:
Ricardo Mayo Bayón, Francisco Javier de Cos Juez, Víctor Manuel González Suárez, Fernando Las-Heras, Paulino José García Nieto
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 7062-7083 (2015)
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 3
Pages 7062-7083
Sensors (Basel, Switzerland)
Sensors
Volume 15
Issue 3
Pages 7062-7083
Prognostics is an engineering discipline that predicts the future health of a system. In this research work, a data-driven approach for prognostics is proposed. Indeed, the present paper describes a data-driven hybrid model for the successful predict
Autor:
Reyes Poo Argüelles, Marta García Prado, Felipe Mateos Martín, Víctor Manuel González Suárez, Ricardo Mayo Bayón
Publikováno v:
IFAC Proceedings Volumes. 35:7-12
Domotics is the technology for developing the automation of common installations in a house or building. Despite the high expectations due to the potential energy saving, comfort and security, there was a low increasing in the number of domotics inst
Autor:
Pablo Fernandez, Alejandro Fernandez Junquera, Angel Luis Sierra Diaz, Víctor M. González, Ricardo Mayo Bayón
Publikováno v:
ETFA
This paper presents MIOOP, a new extension of the IEC 61131-3 norm which allows for an object oriented programming paradigm (OOPP) approach for the development of PLC control software. MIOOP supports the basis of OOPP, i.e. abstraction, encapsulation
Autor:
González Suárez, Víctor Manuel1 vmsuarez@uniovi.es, García-Gonzalo, Esperanza2 espe@uniovi.es, Mayo Bayón, Ricardo1 rmayo@uniovi.es, García Nieto, Paulino José2 pjgarcia@uniovi.es, Álvarez Antón, Juan Carlos1 anton@uniovi.es
Publikováno v:
International Journal of Advanced Manufacturing Technology. Feb2019, Vol. 100 Issue 5-8, p1549-1562. 14p.
Autor:
García Nieto, Paulino José1 lato@orion.ciencias.uniovi.es, González Suárez, Victor Manuel2 vmsuarez@uniovi.es, Álvarez Antón, Juan Carlos2 anton@uniovi.es, Mayo Bayón, Ricardo2 rmayo@uniovi.es, Sirgo Blanco, José Ángel2 sirgo@uniovi.es, Díaz Fernández, Ana María3 ana.diaz@arcelormittal.com
Publikováno v:
Materials (1996-1944). 2015, Vol. 8 Issue 6, p3562-3583. 22p. 2 Color Photographs, 2 Black and White Photographs, 1 Diagram, 7 Charts, 1 Graph.
Autor:
Sánchez Lasheras, Fernando1 sanchezfernando@uniovi.es, García Nieto, Paulino José2 lato@orion.ciencias.uniovi.es, Javier de Cos Juez, Francisco3 fjcos@uniovi.es, Mayo Bayón, Ricardo4 rmayo@uniovi.es, González Suárez, Victor Manuel4 vmsuarez@uniovi.es
Publikováno v:
Sensors (14248220). 2015, Vol. 15 Issue 3, p7062-7083. 22p.
Autor:
Bayón, Ricardo Mayo1 rmayo@uniovi.es, González Suárez, Víctor M.1 victor@isa.uniovi.es, Martín, Felipe Mateos1 felipe@isa.uniovi.es, Ronda, Juan M. Lopera1 lopera@uniovi.es, Antón, Juan C. Álvarez1 anton@uniovi.es
Publikováno v:
Sensors (14248220). Aug2014, Vol. 14 Issue 8, p14712-14731. 20p.