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Conceptual framework for smart maintenance based on distributed intelligence

dc.contributor.authorPulikottil, Terrin
dc.contributor.authorEstrada-Jimenez, Luis A.
dc.contributor.authorBarata, José
dc.contributor.institutionCTS - Centro de Tecnologia e Sistemas
dc.contributor.institutionUNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
dc.contributor.pblElsevier Science B.V., Inc
dc.date.accessioned2026-01-14T10:45:28Z
dc.date.available2026-01-14T10:45:28Z
dc.date.issued2022-07-01
dc.descriptionPublisher Copyright: Copyright © 2022 The Authors.
dc.description.abstractAn efficient maintenance strategy will provide more transparency and competitiveness for manufacturers in smart manufacturing era. Even though there have been several maintenance frameworks considering the emerging technologies, they still need to address challenges like big data storage, system resilience, multi-modality sensing, holistic approach, future-proof, generic framework and so on. To address these challenges, this paper presents a smart maintenance framework for shop-floor. First, a brief insight into key properties, performance indicators, levels and enablers of smart maintenance are described. The conceptual framework is based on distributed intelligence and has two major blocks - innate and adaptive intelligence. Tool wear monitoring is presented as a use case.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent6
dc.format.extent955181
dc.identifier.doi10.1016/j.ifacol.2022.09.194
dc.identifier.issn2405-8963
dc.identifier.otherPURE: 52849108
dc.identifier.otherPURE UUID: c64dd922-170e-40b0-bc2e-ecfe5148d9a4
dc.identifier.otherScopus: 85142303424
dc.identifier.otherWOS: 000860839700021
dc.identifier.urihttp://hdl.handle.net/10362/198791
dc.identifier.urlhttps://www.scopus.com/pages/publications/85142303424
dc.language.isoeng
dc.peerreviewedyes
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/814078/EU
dc.subjectdistributed intelligence
dc.subjecthuman immune system
dc.subjectPredictive maintenance
dc.subjectsmart manufacturing
dc.subjecttool wear monitoring
dc.subjectControl and Systems Engineering
dc.titleConceptual framework for smart maintenance based on distributed intelligenceen
dc.typejournal article
degois.publication.firstPage121
degois.publication.issue19
degois.publication.lastPage126
degois.publication.titleIFAC-PapersOnLine
degois.publication.volume55
dspace.entity.typePublication
rcaap.rightsopenAccess

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