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Collaboration and self-organization to enable self-healing in industrial cyber-physical systems

2024Comunicação em conferência Acesso aberto
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dc.contributor.authorPiardi, Luís
dc.contributor.authorLeitão, Paulo
dc.contributor.authorCosta, Pedro
dc.contributor.authorOliveira, André Schneider de
dc.date.accessioned2026-03-02T15:07:48Z
dc.date.available2026-03-02T15:07:48Z
dc.date.issued2024
dc.description.abstractFault tolerance (FT) is a critical aspect of industry, where systems are susceptible to disturbance and faults. Traditional FT models, based on the centralization of information to handle fault episodes, no longer meet the current industrial models based on Cyber-physical Systems (CPS). Self-healing is a promising approach for FT in CPS, consisting of the individual competence of each componente in detect, diagnose and recover from failures. With this in mind, this paper discusses the engineering of self-healing fault-tolerance in industrial CPS, analyzing the maturation process of this paradigm from the local model through collaboration models and later to self-organization features. The paper also discusses the main research challenges that self-healing FT faces during this process.eng
dc.description.sponsorshipThis work has been supported by the Foundation for Science and Technology (FCT, Portugal) through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020) and SusTEC (LA/P/0007/2021). The author Luis Piardi thanks the Fundação para a Ciência e Tecnologia (FCT), Portugal for the PhD Grant UI/BD/151286/2021.
dc.identifier.citationPiardi Luis; Leitão, Paulo; Costa, Pedro; Oliveira, André Schneider de (2024). Collaboration and Self-organization to enable self-healing in industrial cyber-physical systems. In Proceedings of SOHOMA 2023. Cham: Spinger Nature, p. 532-546. ISBN 978-3-031-53445-4. DOI: 10.1007/978-3-031-53445-4_44
dc.identifier.doi10.1007/978-3-031-53445-4_44
dc.identifier.isbn978-3-031-53444-7
dc.identifier.isbn978-3-031-53445-4
dc.identifier.urihttp://hdl.handle.net/10198/35914
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationLA/P/0007/2021
dc.relationUI/BD/151286/2021
dc.relation.ispartofStudies in Computational Intelligence
dc.relation.ispartofService Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleCollaboration and self-organization to enable self-healing in industrial cyber-physical systemseng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberUIDP/05757/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.citation.titleProceedings of SOHOMA 2023
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa
person.familyNamePiardi
person.familyNameLeitão
person.givenNameLuís
person.givenNamePaulo
person.identifierA-8390-2011
person.identifier.ciencia-idC51A-82DB-016F
person.identifier.ciencia-id8316-8F13-DA71
person.identifier.orcid0000-0003-1627-8210
person.identifier.orcid0000-0002-2151-7944
person.identifier.scopus-author-id35584388900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication643e9664-ec9b-4b2f-b93c-6f3f8335fd61
relation.isAuthorOfPublication68d9eb25-ad4f-439b-aeb2-35e8708644cc
relation.isAuthorOfPublication.latestForDiscovery643e9664-ec9b-4b2f-b93c-6f3f8335fd61
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