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KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0 / Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, Christoph Reich, François de Bertrand de Beuvron, Arnold Beckmann, Cinzia Giannetti
Robotics and Computer-Integrated Manufacturing, Volume: 74, Start page: 102281
Swansea University Authors: Qiushi Cao, Arnold Beckmann, Cinzia Giannetti
DOI (Published version): 10.1016/j.rcim.2021.102281
Abstract
KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0
| Published in: | Robotics and Computer-Integrated Manufacturing |
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| ISSN: | 0736-5845 |
| Published: |
Elsevier BV
2022
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa58508 |
| Tags: |
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| Keywords: |
Industry 4.0; Predictive maintenance; Knowledge-based system; Chronicle mining; Ontology reasoning |
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| College: |
College of Science |
| Funders: |
INTERREG Upper Rhine (European Regional Development Fund), Engineering and Physical Sciences Research Council (EPSRC) |
| Start Page: |
102281 |