Hybrid modelling using neural network based prediction under Foundation Fieldbus

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.identifier.uri	http://hdl.handle.net/2183/549
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.language.iso	eng	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	info:eu-repo/semantics/conferenceObject	es_ES
dc.rights.access	info:eu-repo/semantics/openAccess	es_ES