Please use this identifier to cite or link to this item: http://hdl.handle.net/11328/4378
Title: Data-driven predictive maintenance
Authors: Gama, João
Ribeiro, Rita P.
Veloso, Bruno
Issue Date: 25-May-2022
Publisher: IEEE
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
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.
URI: http://hdl.handle.net/11328/4378
ISSN: 1541-1672 (Print)
1941-1294 (Electronic)
Appears in Collections:REMIT – Artigos em Revistas Internacionais / Papers in International Journals

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