ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0

Detalhes bibliográficos
Autor(a) principal: Dalzochio, Jovani
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos)
Texto Completo: http://www.repositorio.jesuita.org.br/handle/UNISINOS/9220
Resumo: CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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spelling 2020-08-06T20:21:52Z2020-08-06T20:21:52Z2020-03-17Submitted by Maicon Juliano Schmidt (maicons) on 2020-08-06T20:21:52Z No. of bitstreams: 1 Jovani Dalzochio_.pdf: 3688590 bytes, checksum: 5b32ab959191b378b32532ff47077652 (MD5)Made available in DSpace on 2020-08-06T20:21:52Z (GMT). No. of bitstreams: 1 Jovani Dalzochio_.pdf: 3688590 bytes, checksum: 5b32ab959191b378b32532ff47077652 (MD5) Previous issue date: 2020-03-17CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorThe topic of predictive maintenance has great relevance in the search for the rationalization and efficiency of the industrial plants in the context of Industry 4.0. Monitoring equipment parameters and identifying behavior changes that identify a future failure allows for anticipation of maintenance while avoiding unnecessary preventive maintenance. There are numerous works in the literature that work towards the prediction of maintenance of various equipment. However, the same equipment has different behavior depending on the conditions of use or the operating environment, making a tool capable of being trained for new environments is necessary. This work describes the methodology of creating a framework that can be configured to work on predicting equipment failures, that is, regardless of location or condition of use. For this, starting from the initial configuration of the framework, the use of an ontology is applied in the choice of the best prediction technique for each established condition of the initial parameterization.Dalzochio, Jovanihttp://lattes.cnpq.br/4598296566128465http://lattes.cnpq.br/1301443198267856Barbosa, Jorge Luis Victóriahttp://lattes.cnpq.br/6754464380129137Kunst, RafaelUniversidade do Vale do Rio dos SinosPrograma de Pós-Graduação em Computação AplicadaUnisinosBrasilEscola PolitécnicaELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0ACCNPQ::Ciências Exatas e da Terra::Ciência da ComputaçãoIndustry 4.0OntologyMachine learningPredictive maintenanceinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://www.repositorio.jesuita.org.br/handle/UNISINOS/9220info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos)instname:Universidade do Vale do Rio dos Sinos (UNISINOS)instacron:UNISINOSORIGINALJovani Dalzochio_.pdfJovani Dalzochio_.pdfapplication/pdf3688590http://repositorio.jesuita.org.br/bitstream/UNISINOS/9220/1/Jovani+Dalzochio_.pdf5b32ab959191b378b32532ff47077652MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-82175http://repositorio.jesuita.org.br/bitstream/UNISINOS/9220/2/license.txt320e21f23402402ac4988605e1edd177MD52UNISINOS/92202020-08-06 17:22:58.997oai:www.repositorio.jesuita.org.br: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 Digital de Teses e Dissertaçõeshttp://www.repositorio.jesuita.org.br/oai/requestopendoar:2020-08-06T20:22:58Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos) - Universidade do Vale do Rio dos Sinos (UNISINOS)false
dc.title.en.fl_str_mv ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
title ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
spellingShingle ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
Dalzochio, Jovani
ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
Industry 4.0
Ontology
Machine learning
Predictive maintenance
title_short ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
title_full ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
title_fullStr ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
title_full_unstemmed ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
title_sort ELFpm: an ensemble-based learning framework for predictive maintenance in industry 4.0
author Dalzochio, Jovani
author_facet Dalzochio, Jovani
author_role author
dc.contributor.authorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/4598296566128465
dc.contributor.advisorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/1301443198267856
dc.contributor.author.fl_str_mv Dalzochio, Jovani
dc.contributor.advisor-co1.fl_str_mv Barbosa, Jorge Luis Victória
dc.contributor.advisor-co1Lattes.fl_str_mv http://lattes.cnpq.br/6754464380129137
dc.contributor.advisor1.fl_str_mv Kunst, Rafael
contributor_str_mv Barbosa, Jorge Luis Victória
Kunst, Rafael
dc.subject.cnpq.fl_str_mv ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
topic ACCNPQ::Ciências Exatas e da Terra::Ciência da Computação
Industry 4.0
Ontology
Machine learning
Predictive maintenance
dc.subject.eng.fl_str_mv Industry 4.0
Ontology
Machine learning
Predictive maintenance
description CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
publishDate 2020
dc.date.accessioned.fl_str_mv 2020-08-06T20:21:52Z
dc.date.available.fl_str_mv 2020-08-06T20:21:52Z
dc.date.issued.fl_str_mv 2020-03-17
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.repositorio.jesuita.org.br/handle/UNISINOS/9220
url http://www.repositorio.jesuita.org.br/handle/UNISINOS/9220
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Universidade do Vale do Rio dos Sinos
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Computação Aplicada
dc.publisher.initials.fl_str_mv Unisinos
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Escola Politécnica
publisher.none.fl_str_mv Universidade do Vale do Rio dos Sinos
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNISINOS (RBDU Repositório Digital da Biblioteca da Unisinos)
instname:Universidade do Vale do Rio dos Sinos (UNISINOS)
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instacron_str UNISINOS
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bitstream.url.fl_str_mv http://repositorio.jesuita.org.br/bitstream/UNISINOS/9220/1/Jovani+Dalzochio_.pdf
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