Publication
IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0
| dc.contributor.author | Peres, Ricardo Silva | |
| dc.contributor.author | Rocha, André Dionísio | |
| dc.contributor.author | Leitão, Paulo | |
| dc.contributor.author | Barata, José | |
| dc.date.accessioned | 2018-02-19T10:00:00Z | |
| dc.date.accessioned | 2018-08-03T08:23:58Z | |
| dc.date.available | 2018-01-19T10:00:00Z | |
| dc.date.available | 2018-08-03T08:23:58Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | The manufacturing industry represents a data rich environment, in which larger and larger volumes of data are constantly being generated by its processes. However, only a relatively small portion of it is actually taken advantage of by manufacturers. As such, the proposed Intelligent Data Analysis and Real-Time Supervision (IDARTS) framework presents the guidelines for the implementation of scalable, flexible and pluggable data analysis and real-time supervision systems for manufacturing environments. IDARTS is aligned with the current Industry 4.0 trend, being aimed at allowing manufacturers to translate their data into a business advantage through the integration of a Cyber-Physical System at the edge with cloud computing. It combines distributed data acquisition, machine learning and run-time reasoning to assist in fields such as predictive maintenance and quality control, reducing the impact of disruptive events in production. | en_EN |
| dc.description.version | info:eu-repo/semantics/publishedVersion | en_EN |
| dc.identifier.citation | Peres, Ricardo Silva; Dionisio Rocha, Andre; Leitao, Paulo; Barata, Jose (2018). IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0. Computers in Industry. ISSN 0166-3615. 101, p. 138-146 | en_EN |
| dc.identifier.doi | 10.1016/j.compind.2018.07.004 | en_EN |
| dc.identifier.issn | 0166-3615 | |
| dc.identifier.uri | http://hdl.handle.net/10198/17910 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | en_EN |
| dc.subject | Cyber-physical systems | en_EN |
| dc.subject | Data analytics | en_EN |
| dc.subject | Industry 4.0 | en_EN |
| dc.subject | Multi- agent systems | en_EN |
| dc.subject | Predictive manufacturing systems | en_EN |
| dc.title | IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0 | en_EN |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| person.familyName | Leitão | |
| person.givenName | Paulo | |
| person.identifier | A-8390-2011 | |
| person.identifier.ciencia-id | 8316-8F13-DA71 | |
| person.identifier.orcid | 0000-0002-2151-7944 | |
| person.identifier.scopus-author-id | 35584388900 | |
| rcaap.rights | openAccess | en_EN |
| rcaap.type | article | en_EN |
| relation.isAuthorOfPublication | 68d9eb25-ad4f-439b-aeb2-35e8708644cc | |
| relation.isAuthorOfPublication.latestForDiscovery | 68d9eb25-ad4f-439b-aeb2-35e8708644cc |