Hybrid modelling using neural network based prediction under Foundation Fieldbus

UDC.coleccion	Investigación	es_ES
UDC.departamento	Enxeñaría Industrial	es_ES
UDC.grupoInv	Ciencia e Técnica Cibernética (CTC)	es_ES
dc.contributor.author	Ferreiro García, Ramón
dc.contributor.author	Pérez Castelo, Francisco Javier
dc.date.accessioned	2005-12-21T16:40:29Z
dc.date.available	2005-12-21T16:40:29Z
dc.date.issued	2004
dc.description	World Automation Congress, WAC 2004, Sevilla, Spain	es_ES
dc.description.abstract	The objective of this work is to describe a novel methodology for modelling MV and NL processes, useful among other applications, in fault detection tasks, possibly to be applied on plant supervision, including transient state fault detection and decision making according the well known method based on parity equations and rule based residuals evaluation	es_ES
dc.description.sponsorship	Ministerio de Ciencia y Tecnología; DPI2003-00512	es_ES
dc.format.mimetype	application/pdf
dc.identifier.uri	http://hdl.handle.net/2183/549
dc.language.iso	eng	es_ES
dc.rights.accessRights	open access	es_ES
dc.subject	Neural networks	es_ES
dc.subject	Residual generation	es_ES
dc.subject	Fault detection	es_ES
dc.subject	Neural predictor	es_ES
dc.title	Hybrid modelling using neural network based prediction under Foundation Fieldbus	es_ES
dc.type	conference output	es_ES
dspace.entity.type	Publication
relation.isAuthorOfPublication	afa0e859-fbf9-4d14-9e26-de5587c7c21f
relation.isAuthorOfPublication	4a4b4493-8f36-41dc-a63a-2c69d223da8c
relation.isAuthorOfPublication.latestForDiscovery	afa0e859-fbf9-4d14-9e26-de5587c7c21f

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