Advanced sensor-based maintenance in real-world exemplary cases

Detalhes bibliográficos
Autor(a) principal: Albano, Michele
Data de Publicação: 2020
Outros Autores: Lino Ferreira, Luis, Orio, Giovanni Di, Maló, Pedro, Webers, Godfried, Jantunen, Erkki, Gabilondo, Iosu, Viguera, Mikel, Papa, Gregor
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/18705
Resumo: Collecting complex information on the status of machinery is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four different real-world examples of project pilots that make use of the described sensors and draws a comparison between them. In particular, each scenario has unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.
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spelling Advanced sensor-based maintenance in real-world exemplary casesCondition-based maintenancePredictive maintenanceVirtual sensorsUse casesDemonstratorsPilotsCollecting complex information on the status of machinery is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four different real-world examples of project pilots that make use of the described sensors and draws a comparison between them. In particular, each scenario has unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.This work was partially supported by National Funds through FCT/MEC (Portuguese Foundation for Science and Technology), Slovenian Research Agency (research core funding No. P2-0098), Finnish Funding Agency for Innovation Tekes, and co-financed by ERDF (European Regional Development Fund) under the PT2020 Partnership, within the CISTER Research Unit (PCEC/04234); also by the EU ECSELJU under the H2020 Framework Programme, within project ECSEL/0004/2014, JU grant no. 662189 (MANTIS); also by EU ECSEL JU under the H2020 Framework Programme, JU grant no. 737459 (Productive4.0 project).Taylor & FrancisRepositório Científico do Instituto Politécnico do PortoAlbano, MicheleLino Ferreira, LuisOrio, Giovanni DiMaló, PedroWebers, GodfriedJantunen, ErkkiGabilondo, IosuViguera, MikelPapa, Gregor2021-10-13T13:16:28Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/18705eng10.1080/00051144.2020.1794192info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:11:21Zoai:recipp.ipp.pt:10400.22/18705Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:38:44.565431Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Advanced sensor-based maintenance in real-world exemplary cases
title Advanced sensor-based maintenance in real-world exemplary cases
spellingShingle Advanced sensor-based maintenance in real-world exemplary cases
Albano, Michele
Condition-based maintenance
Predictive maintenance
Virtual sensors
Use cases
Demonstrators
Pilots
title_short Advanced sensor-based maintenance in real-world exemplary cases
title_full Advanced sensor-based maintenance in real-world exemplary cases
title_fullStr Advanced sensor-based maintenance in real-world exemplary cases
title_full_unstemmed Advanced sensor-based maintenance in real-world exemplary cases
title_sort Advanced sensor-based maintenance in real-world exemplary cases
author Albano, Michele
author_facet Albano, Michele
Lino Ferreira, Luis
Orio, Giovanni Di
Maló, Pedro
Webers, Godfried
Jantunen, Erkki
Gabilondo, Iosu
Viguera, Mikel
Papa, Gregor
author_role author
author2 Lino Ferreira, Luis
Orio, Giovanni Di
Maló, Pedro
Webers, Godfried
Jantunen, Erkki
Gabilondo, Iosu
Viguera, Mikel
Papa, Gregor
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Albano, Michele
Lino Ferreira, Luis
Orio, Giovanni Di
Maló, Pedro
Webers, Godfried
Jantunen, Erkki
Gabilondo, Iosu
Viguera, Mikel
Papa, Gregor
dc.subject.por.fl_str_mv Condition-based maintenance
Predictive maintenance
Virtual sensors
Use cases
Demonstrators
Pilots
topic Condition-based maintenance
Predictive maintenance
Virtual sensors
Use cases
Demonstrators
Pilots
description Collecting complex information on the status of machinery is the enabler for advanced maintenance activities, and one of the main players in this process is the sensor. This paper describes modern maintenance strategies that lead to Condition-Based Maintenance. This paper discusses the sensors that can be used to support maintenance, as of different categories, spanning from common off-the-shelf sensors, to specialized sensors monitoring very specific characteristics, and to virtual sensors. This paper also presents four different real-world examples of project pilots that make use of the described sensors and draws a comparison between them. In particular, each scenario has unique characteristics requiring different families of sensors, but on the other hand provides similar characteristics on other aspects.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-10-13T13:16:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/18705
url http://hdl.handle.net/10400.22/18705
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1080/00051144.2020.1794192
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Taylor & Francis
publisher.none.fl_str_mv Taylor & Francis
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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