Machine learning-based CPS for clustering high throughput machine cycle conditions

Detalles Bibliográficos
Autores: Díaz Rozo, Javier, Bielza Lozoya, María Concepción|||0000-0001-7109-2668, Larrañaga Múgica, Pedro María|||0000-0003-0652-9872
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:50946
Acceso en línea:https://oa.upm.es/50946/
Access Level:acceso abierto
Palabra clave:Clustering
Cyber-physical system
IIoT
Behavior pattern
Knowledge discovery
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spelling Machine learning-based CPS for clustering high throughput machine cycle conditionsDíaz Rozo, JavierBielza Lozoya, María Concepción|||0000-0001-7109-2668Larrañaga Múgica, Pedro María|||0000-0003-0652-9872ClusteringCyber-physical systemIIoTBehavior patternKnowledge discovery20172017-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/50946/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenComunidad de Madrid 10.13039/100012818 S2013/ICE-2845 Conceptos y aplicaciones de los sistemas inteligentesopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:509462026-06-21T12:45:07Z
dc.title.none.fl_str_mv Machine learning-based CPS for clustering high throughput machine cycle conditions
title Machine learning-based CPS for clustering high throughput machine cycle conditions
spellingShingle Machine learning-based CPS for clustering high throughput machine cycle conditions
Díaz Rozo, Javier
Clustering
Cyber-physical system
IIoT
Behavior pattern
Knowledge discovery
title_short Machine learning-based CPS for clustering high throughput machine cycle conditions
title_full Machine learning-based CPS for clustering high throughput machine cycle conditions
title_fullStr Machine learning-based CPS for clustering high throughput machine cycle conditions
title_full_unstemmed Machine learning-based CPS for clustering high throughput machine cycle conditions
title_sort Machine learning-based CPS for clustering high throughput machine cycle conditions
dc.creator.none.fl_str_mv Díaz Rozo, Javier
Bielza Lozoya, María Concepción|||0000-0001-7109-2668
Larrañaga Múgica, Pedro María|||0000-0003-0652-9872
author Díaz Rozo, Javier
author_facet Díaz Rozo, Javier
Bielza Lozoya, María Concepción|||0000-0001-7109-2668
Larrañaga Múgica, Pedro María|||0000-0003-0652-9872
author_role author
author2 Bielza Lozoya, María Concepción|||0000-0001-7109-2668
Larrañaga Múgica, Pedro María|||0000-0003-0652-9872
author2_role author
author
dc.subject.none.fl_str_mv Clustering
Cyber-physical system
IIoT
Behavior pattern
Knowledge discovery
topic Clustering
Cyber-physical system
IIoT
Behavior pattern
Knowledge discovery
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/50946/
url https://oa.upm.es/50946/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.relation.none.fl_str_mv Comunidad de Madrid 10.13039/100012818 S2013/ICE-2845 Conceptos y aplicaciones de los sistemas inteligentes
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301603

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