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Use of Edge Computing for Predictive Maintenance of Industrial Electric Motors

dc.contributor.editorFigueroa-Garcia J.C.
dc.contributor.editorDuarte-Gonzalez M.
dc.contributor.editorJaramillo-Isaza S.
dc.contributor.editorOrjuela-Canon A.D.
dc.contributor.editorDiaz-Gutierrez Y.
dc.creatorDe Leon V.
dc.creatorAlcazar Y.
dc.creatorVilla Ramírez, José Luis
dc.date.accessioned2020-03-26T16:33:07Z
dc.date.available2020-03-26T16:33:07Z
dc.date.issued2019
dc.identifier.citationCommunications in Computer and Information Science; Vol. 1052, pp. 523-533
dc.identifier.isbn9783030310189
dc.identifier.issn18650929
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9170
dc.description.abstractIndustrial Internet of Things has become a reality in many kind of industries. In this paper, We explore the case of high quantity of raw data generated by a machine. In the aforementioned case is not viable store and process the data in a traditional Internet of Things architecture. For this case, We use an architecture based on edge computing and Industrial Internet of Things concepts and apply them to a case of machine monitoring for predictive maintenance. The proof of concept shows the potential benefits in real industrial applications. © 2019, Springer Nature Switzerland AG.eng
dc.description.sponsorshipDepartment of Science, Information Technology and Innovation, Queensland Government, DSITI Ministry of Information and Communications Technology, Iran Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS), COLCIENCIAS Fondo Nacional de Ciencia Tecnología e Innovación, FONACIT: FP44842-502-2015
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85075644036&doi=10.1007%2f978-3-030-31019-6_44&partnerID=40&md5=a3ce01c10e2bb04764c4bb875b31115f
dc.titleUse of Edge Computing for Predictive Maintenance of Industrial Electric Motors
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datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event6th Workshop on Engineering Applications, WEA 2019
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1007/978-3-030-31019-6_44
dc.subject.keywordsEdge computing
dc.subject.keywordsIndustrial internet of things
dc.subject.keywordsPredictive maintenance
dc.subject.keywordsElectric motors
dc.subject.keywordsInternet of things
dc.subject.keywordsMaintenance
dc.subject.keywordsArchitecture-based
dc.subject.keywordsInternet of things architectures
dc.subject.keywordsMachine monitoring
dc.subject.keywordsPotential benefits
dc.subject.keywordsPredictive maintenance
dc.subject.keywordsProof of concept
dc.subject.keywordsEdge computing
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesThe authors would like acknowledge the cooperation of all partners within the Centro de Excelencia y Apropiaci?n en Internet de las Cosas (CEA-IoT) project. The authors would also like to thank all the institutions that supported this work: the Colombian Ministry for the Information and Communications Technology (Ministerio de Tecnolog?as de la Informaci?n y las Comunicaciones-MinTIC ) and the Colombian Administrative Department of Science, Technology and Innovation (Departamento Administrativo de Ciencia, Tecnolog?a e Innovaci?n-Colcien-cias) through the Fondo Nacional de Financiamiento para la Ciencia, la Tecnolog?a y la Innovaci?n Francisco Jos? de Caldas (Project ID: FP44842-502-2015).
dc.relation.conferencedate16 October 2019 through 18 October 2019
dc.type.spaConferencia
dc.identifier.orcid57212008502
dc.identifier.orcid57212005233
dc.identifier.orcid55498635300


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.