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Repositorio de la Universidad de Oviedo. > Producción Bibliográfica de UniOvi: RECOPILA > Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10651/22848

Title: Visual predictive maintenance tool based on SOM projection techniques
Author(s): Díaz Blanco, Ignacio
Cuadrado Vega, Abel Alberto
Díez González, Alberto Benjamín
Rodríguez Loredo, Luis
Obeso Carrera, Faustino Emilio
Sánchez Rodríguez, Juan Antonio
Issue date: 2003
Publisher: EDP Sciences
Publisher version: http://dx.doi.org/10.1051/metal:2003179
Citation: Revue de Metallurgie. Cahiers D'Informations Techniques, 100, p. 307-315 (2003); doi:10.1051/metal:2003179
Format extent: p. 307-315
Abstract: This paper presents a portable condition monitoring system named MAPREX which was developed as result of the cooperation between the University of Oviedo and Aceralia inside of a research project funded by the ECSC - Steel RTD Program. The system integrates powerful monitoring and data visualization techniques based on the Self Organizing Map (SOM) algorithm. In this paper is described in detail the system architecture and performances, visualization techniques implemented and an example displaying real data from a 6,000 kW DC motor of a hot strip mill rolling stand
URI: http://hdl.handle.net/10651/22848
ISSN: 0035-1563
Appears in Collections:Artículos
Ingeniería Eléctrica, Electrónica, de Computadores y Sistemas

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