Publication
Collaborative fault detection and diagnosis architecture for industrial cyber-physical systems
| dc.contributor.author | Piardi, Luis | |
| dc.contributor.author | Costa, Pedro | |
| dc.contributor.author | Oliveira, Andre Schneider | |
| dc.contributor.author | Leitão, Paulo | |
| dc.date.accessioned | 2023-03-15T09:51:13Z | |
| dc.date.available | 2023-03-15T09:51:13Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Industrial Cyber-Physical Systems (ICPS) deploy a network of connected and heterogeneous systems, integrating computational and physical components, improving production and quality. However, a fault-free system is still utopian, but methodologies related to fault detection and diagnosis are still being treated in isolation or a centralized approach, overlooking the technological advances related to ICPS such as IoT, AI and edge computing. With this in mind, the present work proposes a collaborative architecture for fault detection and diagnosis, regarding the exchange of information for collaborative detection and diagnosis adopting disruptive technologies. Laboratory-scale ICPS experiments were carried out to compare the proposed approach with the approach where each component separately intends to identify and diagnose faults. The results present a faster response generating a system more flexible and robust. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Piardi, Luis; Costa, Pedro; Oliveira, Andre; Leitão, Paulo (2022). Collaborative fault detection and diagnosis architecture for industrial cyber-physical systems. In IEEE International Conference on Industrial Technology (ICIT). Shanghai | pt_PT |
| dc.identifier.doi | 10.1109/ICIT48603.2022.10002786 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/27729 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Industrial cyber-physical systems | pt_PT |
| dc.subject | Fault detection | pt_PT |
| dc.subject | Industry 4.0 | pt_PT |
| dc.title | Collaborative fault detection and diagnosis architecture for industrial cyber-physical systems | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Shanghai | pt_PT |
| oaire.citation.endPage | 6 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | IEEE International Conference on Industrial Technology (ICIT) | pt_PT |
| person.familyName | Piardi | |
| person.familyName | Leitão | |
| person.givenName | Luís | |
| person.givenName | Paulo | |
| person.identifier | A-8390-2011 | |
| person.identifier.ciencia-id | C51A-82DB-016F | |
| person.identifier.ciencia-id | 8316-8F13-DA71 | |
| person.identifier.orcid | 0000-0003-1627-8210 | |
| person.identifier.orcid | 0000-0002-2151-7944 | |
| person.identifier.scopus-author-id | 35584388900 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 643e9664-ec9b-4b2f-b93c-6f3f8335fd61 | |
| relation.isAuthorOfPublication | 68d9eb25-ad4f-439b-aeb2-35e8708644cc | |
| relation.isAuthorOfPublication.latestForDiscovery | 68d9eb25-ad4f-439b-aeb2-35e8708644cc |
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