Expert System to Real Time Control of Machining Processes

Martín Mateos, Francisco Jesús; González Valencia, Luis Carlos; Serrano Bello, Rafael

doi:10.1007/978-3-642-14264-2_29

Ponencia

dc.creator	Martín Mateos, Francisco Jesús	es
dc.creator	González Valencia, Luis Carlos	es
dc.creator	Serrano Bello, Rafael	es
dc.date.accessioned	2019-05-20T09:50:35Z
dc.date.available	2019-05-20T09:50:35Z
dc.date.issued	2009
dc.identifier.citation	Martín Mateos, F.J., González Valencia, L.C. y Serrano Bello, R. (2009). Expert System to Real Time Control of Machining Processes. En CAEPIA 2009: 13th Conference of the Spanish Association for Artificial Intelligence (281-290), Sevilla, España: Springer.
dc.identifier.isbn	978-3-642-14263-5	es
dc.identifier.issn	0302-9743	es
dc.identifier.uri	https://hdl.handle.net/11441/86531
dc.description.abstract	Industrial machining processes use automated milling machines. These machines are connected to a control device that provides the basic instructions used to obtain a piece. However, these processes depend on the human decision to diagnose and correct in real time the inaccuracies that can occur. In this work we present an expert system to real time control of machining processes using the information provided by sensors located on the machine. This system has been implemented as a prototype in a Kondia 600 milling machine with a FAGOR 8025-MG control device.	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	CAEPIA 2009: 13th Conference of the Spanish Association for Artificial Intelligence (2009), p 281-290
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.title	Expert System to Real Time Control of Machining Processes	es
dc.type	info:eu-repo/semantics/conferenceObject	es
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial	es
dc.relation.publisherversion	https://link.springer.com/chapter/10.1007/978-3-642-14264-2_29	es
dc.identifier.doi	10.1007/978-3-642-14264-2_29	es
dc.contributor.group	Universidad de Sevilla. TIC137: Lógica, Computación e Ingeniería del Conocimiento	es
idus.format.extent	10	es
dc.publication.initialPage	281	es
dc.publication.endPage	290	es
dc.eventtitle	CAEPIA 2009: 13th Conference of the Spanish Association for Artificial Intelligence	es
dc.eventinstitution	Sevilla, España	es
dc.relation.publicationplace	Berlin	es
dc.identifier.sisius	6528058	es

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