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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, Fran├žois 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

  • Accepted Manuscript under embargo until: 12th November 2022
Published in: Robotics and Computer-Integrated Manufacturing
ISSN: 0736-5845
Published: Elsevier BV 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58508
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Keywords: Industry 4.0; Predictive maintenance; Knowledge-based system; Chronicle mining; Ontology reasoning
College: College of Science
Funders: INTERREG Upper Rhine (European Regional Development Fund), Engineering and Physical Sciences Research Council (EPSRC)
Start Page: 102281