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An Open Source Framework Approach to Support Condition Monitoring and Maintenance

dc.contributor.authorCampos, Jaime
dc.contributor.authorSharma, Pankaj
dc.contributor.authorAlbano, Michele
dc.contributor.authorFerreira, Luís Lino
dc.contributor.authorLarrañaga, Martin
dc.date.accessioned2021-12-06T14:30:01Z
dc.date.available2021-12-06T14:30:01Z
dc.date.issued2020
dc.description.abstractThis paper discusses the integration of emergent ICTs, such as the Internet of Things (IoT), the Arrowhead Framework, and the best practices from the area of condition monitoring and maintenance. These technologies are applied, for instance, for roller element bearing fault diagnostics and analysis by simulating faults. The authors first undertook the leading industry standards for condition-based maintenance (CBM), i.e., open system architecture–condition-based maintenance (OSA–CBM) and Machinery Information Management Open System Alliance (MIMOSA), which has been working towards standardizing the integration and interchangeability between systems. In addition, this paper highlights the predictive health monitoring methods that are needed for an effective CBM approach. The monitoring of industrial machines is discussed as well as the necessary details are provided regarding a demonstrator built on a metal sheet bending machine of the Greenbender family. Lastly, the authors discuss the benefits of the integration of the developed prototypes into a service-oriented platform, namely the Arrowhead Framework, which can be instrumental for the remotization of maintenance activities, such as the analysis of various equipment that are geographically distributed, to push forward the grand vision of the servitization of predictive health monitoring methods for large-scale interoperability.pt_PT
dc.description.sponsorshipThe present work has been part of the MANTIS Cyber-Physical System based Proactive Collaborative Maintenance project, which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 662189. The work was further developed in the context of the Productive 4.0 project, which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737459. The ECSEL Joint Undertaking receives support from the European Union’s Horizon 2020 research program.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/app10186360pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18993
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationCyber Physical System based Proactive Collaborative Maintenance
dc.relationElectronics and ICT as enabler for digital industry and optimized supply chain management covering the entire product lifecycle
dc.relation.publisherversionhttps://www.mdpi.com/2076-3417/10/18/6360pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectOSA–CBMpt_PT
dc.subjectRolling element bearing faultpt_PT
dc.subjectThe internet of thingspt_PT
dc.subjectArrowhead frameworkpt_PT
dc.titleAn Open Source Framework Approach to Support Condition Monitoring and Maintenancept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCyber Physical System based Proactive Collaborative Maintenance
oaire.awardTitleElectronics and ICT as enabler for digital industry and optimized supply chain management covering the entire product lifecycle
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/662189/EU
oaire.awardURIinfo:eu-repo/grantAgreement/EC/H2020/737459/EU
oaire.citation.issue18pt_PT
oaire.citation.startPage6360pt_PT
oaire.citation.titleApplied Sciencespt_PT
oaire.citation.volume10pt_PT
oaire.fundingStreamH2020
oaire.fundingStreamH2020
person.familyNameLino Ferreira
person.givenNameLuis
person.identifier2014958
person.identifier.ciencia-id4715-3F5B-EFAE
person.identifier.orcid0000-0002-5976-8853
person.identifier.scopus-author-id55421891300
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.identifierhttp://doi.org/10.13039/501100008530
project.funder.nameEuropean Commission
project.funder.nameEuropean Commission
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication1db060b0-52ff-4a6b-9eaa-4d8a2030942b
relation.isAuthorOfPublication.latestForDiscovery1db060b0-52ff-4a6b-9eaa-4d8a2030942b
relation.isProjectOfPublication8435e6ed-21dc-4690-a4fc-6de25ecf071a
relation.isProjectOfPublicationc7a44880-c5eb-48c3-acdb-74671ce70a91
relation.isProjectOfPublication.latestForDiscovery8435e6ed-21dc-4690-a4fc-6de25ecf071a

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