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Visual predictive maintenance tool based on SOM projection techniques
| dc.contributor.author | Díaz Blanco, Ignacio | |
| dc.contributor.author | Cuadrado Vega, Abel Alberto | |
| dc.contributor.author | Díez González, Alberto Benjamín | |
| dc.contributor.author | Rodríguez Loredo, Luis | |
| dc.contributor.author | Obeso Carrera, Faustino Emilio | |
| dc.contributor.author | Sánchez Rodríguez, Juan Antonio | |
| dc.date.accessioned | 2014-02-24T10:41:54Z | |
| dc.date.available | 2014-02-24T10:41:54Z | |
| dc.date.issued | 2003 | |
| dc.identifier.citation | Revue de Metallurgie. Cahiers D'Informations Techniques, 100, p. 307-315 (2003); doi:10.1051/metal:2003179 | |
| dc.identifier.issn | 0035-1563 | |
| dc.identifier.uri | http://hdl.handle.net/10651/22848 | |
| dc.description.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 | |
| dc.format.extent | p. 307-315 | |
| dc.language.iso | eng | |
| dc.publisher | EDP Sciences | |
| dc.relation.ispartof | Revue de Metallurgie. Cahiers D'Informations Techniques, 100 | |
| dc.rights | © La Revue de Metallurgie, 2003 | |
| dc.title | Visual predictive maintenance tool based on SOM projection techniques | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1051/metal:2003179 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1051/metal:2003179 | |
| dc.rights.accessRights | open access |
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