Machines’ Behaviour Prediction Tool (BPT) for maintenance applications
Author:
Funder
Horizon 2020
European Commission
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference9 articles.
1. Aivaliotis, P., Georgoulias, K., Alexopoulos, K. (2019c) Using digital twin for maintenance applications in manufacturing: State of the Art and Gap analysis. International Conference on Engineering Technology and Innovation (ICE IEEE), Sophia Antipolis Innovation Park, France.
2. Aivaliotis, P., Georgoulias, K., Arkouli, Z., Makris, S. (2019a). Methodology for enabling digital twin concept using advanced physics-based modelling. Proceedings of 52nd CIRP Conference on Manufacturing Systems (CMS2019).
3. Aivaliotis, P., Georgoulias, K., Chryssolouris, G. (2017) A RUL calculation approach based on physics-based simulation models for predictive maintenance. International Conference on Engineering Technology and Innovation (ICE IEEE), 27-29 June, Madeira Island, Portugal.
4. The use of Digital Twin for predictive maintenance in manufacturing;Aivaliotis;International Journal of Computer Integrated Manufacturing,2019
5. Manufacturing Systems: Theory and Practice;Chryssolouris,2006
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