Remote maintenance support with the aid of cyber-physical systems and cloud technology
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/12546 |
Resumo: | This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed. |
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Remote maintenance support with the aid of cyber-physical systems and cloud technologyCyber-physical systemsInternet of thingsMicroelectromechanical systemsMachinery Information Management Open System AllianceOpen System Architecture for Condition-Based MaintenanceThis article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.SAGE PublicationsRepositório Científico do Instituto Politécnico do PortoJantunen, ErkkiGorostegui, UnaiZurutuza, UrkoAlbano, MicheleLino Ferreira, LuisHegedűs, CsabaCampos, Jaime20182119-01-01T00:00:00Z2018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/12546eng0959-651810.1177/0959651818772939metadata only accessinfo: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:RCAAP2023-03-13T12:54:27Zoai:recipp.ipp.pt:10400.22/12546Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:32:48.123200Repositório 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 |
Remote maintenance support with the aid of cyber-physical systems and cloud technology |
title |
Remote maintenance support with the aid of cyber-physical systems and cloud technology |
spellingShingle |
Remote maintenance support with the aid of cyber-physical systems and cloud technology Jantunen, Erkki Cyber-physical systems Internet of things Microelectromechanical systems Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance |
title_short |
Remote maintenance support with the aid of cyber-physical systems and cloud technology |
title_full |
Remote maintenance support with the aid of cyber-physical systems and cloud technology |
title_fullStr |
Remote maintenance support with the aid of cyber-physical systems and cloud technology |
title_full_unstemmed |
Remote maintenance support with the aid of cyber-physical systems and cloud technology |
title_sort |
Remote maintenance support with the aid of cyber-physical systems and cloud technology |
author |
Jantunen, Erkki |
author_facet |
Jantunen, Erkki Gorostegui, Unai Zurutuza, Urko Albano, Michele Lino Ferreira, Luis Hegedűs, Csaba Campos, Jaime |
author_role |
author |
author2 |
Gorostegui, Unai Zurutuza, Urko Albano, Michele Lino Ferreira, Luis Hegedűs, Csaba Campos, Jaime |
author2_role |
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 |
Jantunen, Erkki Gorostegui, Unai Zurutuza, Urko Albano, Michele Lino Ferreira, Luis Hegedűs, Csaba Campos, Jaime |
dc.subject.por.fl_str_mv |
Cyber-physical systems Internet of things Microelectromechanical systems Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance |
topic |
Cyber-physical systems Internet of things Microelectromechanical systems Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance |
description |
This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2119-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/12546 |
url |
http://hdl.handle.net/10400.22/12546 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0959-6518 10.1177/0959651818772939 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SAGE Publications |
publisher.none.fl_str_mv |
SAGE Publications |
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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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799131421086842880 |