Process supervision using hybrid modelling under Foundation Fieldbus

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UDC.coleccionInvestigaciónes_ES
UDC.departamentoEnxeñaría Industriales_ES
UDC.grupoInvCiencia e Técnica Cibernética (CTC)es_ES
dc.contributor.authorFerreiro García, Ramón
dc.contributor.authorPérez Castelo, Francisco Javier
dc.contributor.authorMeizoso-López, María-Carmen
dc.contributor.authorPiñón-Pazos, A.
dc.date.accessioned2005-12-21T16:40:33Z
dc.date.available2005-12-21T16:40:33Z
dc.date.issued2004
dc.descriptionWorld Automation Congress, WAC 2004, Sevilla, Spaines_ES
dc.description.abstractThe objective of this work is to describe a coherent methodology for detect deviations between plant and model responses assuming multivariable and non linear processes. It is proposed to supervise a process modelled by applying Hybrid Modelling (HM). Here hybrid modelling is understood as the process model achieved experimentally on the basis of backpropagation NN associated to first order plus delay modelses_ES
dc.description.sponsorshipMinisterio de Ciencia y Tecnología; DPI2003-00512
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2183/551
dc.language.isoenges_ES
dc.rights.accessRightsopen accesses_ES
dc.subjectNeural networkses_ES
dc.subjectResidual generationes_ES
dc.subjectFault detectiones_ES
dc.subjectNeural predictores_ES
dc.titleProcess supervision using hybrid modelling under Foundation Fieldbuses_ES
dc.typeconference outputes_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication6981883a-51de-42e8-9dfc-35a78626fd7b
relation.isAuthorOfPublication.latestForDiscoveryafa0e859-fbf9-4d14-9e26-de5587c7c21f

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