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Implementation of a virtual sensor on a hot dip galvanizing line for zinc coating thickness estimation

dc.contributor.authorRendueles Vigil, José Luis 
dc.contributor.authorGonzález, Juan Antonio
dc.contributor.authorDíaz Blanco, Ignacio 
dc.contributor.authorDíez González, Alberto Benjamín 
dc.contributor.authorSeijo Fernández, Fernando 
dc.contributor.authorCuadrado Vega, Abel Alberto 
dc.date.accessioned2014-02-24T10:41:54Z
dc.date.available2014-02-24T10:41:54Z
dc.date.issued2006
dc.identifier.citationRevue de Metallurgie. Cahiers D'Informations Techniques, 103, p. 226-232 (2006); doi:10.1051/metal:2006110
dc.identifier.issn0035-1563
dc.identifier.urihttp://hdl.handle.net/10651/22847
dc.description.abstractVirtual sensors allow the measuring of variables for which no physical sensor is available using indirect measurements of related variables. In this work we describe the implementation of a virtual sensor for the zinc coating thickness in a hot dip galvanizing line from related process variables such as blowing pressure, knives-to-strip distance, knives-topot distance, etc., based on artificial neural networks that model nonlinear dynamical relationships. The virtual sensor is currently working on Avilés Galvanizing 2
dc.format.extentp. 226-232
dc.language.isoeng
dc.publisherEDP Sciences
dc.relation.ispartofRevue de Metallurgie. Cahiers D'Informations Techniques, 103
dc.rights© La Revue de Metallurgie, 2006
dc.titleImplementation of a virtual sensor on a hot dip galvanizing line for zinc coating thickness estimation
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1051/metal:2006110
dc.type.dcmitext
dc.relation.publisherversionhttp://dx.doi.org/10.1051/metal:2006110


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