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Collaborative fault tolerance for cyber-physical systems: the diagnosis stage

2025Journal article Open access
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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorPiardi, Luís
dc.contributor.authorCosta, Pedro
dc.contributor.authorOliveira, André Schneider de
dc.contributor.authorLeitão, Paulo
dc.date.accessioned2025-06-27T09:24:52Z
dc.date.available2025-06-27T09:24:52Z
dc.date.issued2025
dc.description.abstractThe reliability and robustness of cyber-physical systems (CPS) are critical aspects of the current industrial landscape. The high level of autonomous and distributed components associated with a large number of devices makes CPS prone to faults. Despite their importance and benefits, traditional fault tolerance methodologies, namely local and/or centralized, often overlook the potential benefits of collaboration between cyber-physical components. This paper introduces a collaborative fault diagnosis methodology for CPS, integrating self-fault diagnosis capabilities in agents and leveraging collaborative behavior to enhance fault diagnosis. The contribution of this paper relay in propose a methodology for fault diagnosis for CPS, based on multi-agent system (MAS) technology as a backbone of infra-structure, highlighting the components, agent behavior, functionalities, and interaction protocols, to explore the benefits of communication and collaboration between agents. The proposed methodology enhance the accuracy of fault diagnosis when compared with local approach. A case study was conducted in a laboratory- scale warehouse, focusing on diagnosing drift, bias, and precision faults in temperature and humidity sensors. Experimental results reveal that the collaborative methodology significantly outperforms the local approach in fault diagnosis, as evidenced by performance improvements in diagnosis classification. The statistical significance of these results was validated using the Wilcoxon signed-ranks test for paired samples.eng
dc.description.sponsorshipThis work was supported by the Coordination for the Improvement of Higher Education Personnel-CAPES under Grant ROR identifier: 00x0ma614 for the Article Processing Charge for the publication of this research. This work was supported in part by Fundação para a Ciência e a Tecnologia (FCT) through Portugal National funds FCT/MCTES (PIDDAC): CeDRI under Grant UIDB/05757/2020 (DOI:10.54499/UIDB/05757/2020) and Grant UIDP/05757/2020 (DOI: 10.54499/UIDP/05757/2020), and in part by SusTEC under Grant LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020). The work of Luis Piardi was supported by FCT for the Ph.D. under Grant UI/BD/151286/2021 (DOI: 10.54499/UI/BD/151286/2021).
dc.identifier.citationPiardi, Luís; Costa, Pedro; Oliveira, André Schneider de; Leitão, Paulo. (2025). Collaborative fault tolerance for cyber-physical systems: The Diagnosis Stage. IEEE Access. ISSN 2169-3536. 13, p. 37278- 37289
dc.identifier.doi10.1109/access.2025.3543081
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10198/34626
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relationUI/BD/151286/2021
dc.relation.ispartofIEEE Access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectFault diagnosis
dc.subjectCyber-physical system
dc.subjectMulti-agent system
dc.subjectCollaboration
dc.subjectFault tolerance
dc.titleCollaborative fault tolerance for cyber-physical systems: the diagnosis stageeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
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.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//UI%2FBD%2F151286%2F2021/PT
oaire.citation.endPage37289
oaire.citation.startPage37278
oaire.citation.titleIEEE Access
oaire.citation.volume13
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
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
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project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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