Data-driven predictive maintenance
| dc.contributor.author | Gama, João | |
| dc.contributor.author | Ribeiro, Rita P. | |
| dc.contributor.author | Veloso, Bruno | |
| dc.date.accessioned | 2022-07-29T11:56:50Z | |
| dc.date.available | 2022-07-29T11:56:50Z | |
| dc.date.issued | 2022-05-25 | |
| dc.description.abstract | With the growth of 5G networks, the Internet-of-Things is becoming a reality. The advances in networking, machine learning, data analytics, and robotics largely improve industrial processes. Industry 4.0 is a term for the fourth industrial revolution: the digitization and automation of manufacturing [1]. Predictive maintenance is one of the techniques with high impact in today’s industry. | pt_PT |
| dc.identifier.citation | Gama, J., Ribeiro, R. P., & Veloso, B. (2022). Data-driven predictive maintenance. IEEE Intelligent Systems, 1-2. 10.1109/MIS.2022.3167561. Repositório Institucional UPT. http://hdl.handle.net/11328/4378 | pt_PT |
| dc.identifier.doi | 10.1109/MIS.2022.3167561 | pt_PT |
| dc.identifier.issn | 1541-1672 (Print) | |
| dc.identifier.issn | 1941-1294 (Electronic) | |
| dc.identifier.uri | http://hdl.handle.net/11328/4378 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE | pt_PT |
| dc.rights | restricted access | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.title | Data-driven predictive maintenance | pt_PT |
| dc.type | journal article | pt_PT |
| degois.publication.firstPage | 1 | pt_PT |
| degois.publication.lastPage | 2 | pt_PT |
| degois.publication.title | IEEE Intelligent Systems | pt_PT |
| dspace.entity.type | Publication | en |
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