Condition-based Monitoring Architecture for CNC Machine Tools based on Global Knowledge

Author:

Villalonga Alberto,Beruvides Gerardo,Castaño Fernando,Haber Rodolfo E.,Novo Marcelino

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference11 articles.

1. Castaño, F., Haber, R. E., Toro, R. M. d., & Beruvides, G. (2014, 9-12 Dec. 2014). Application of hybrid incremental modeling for predicting surface roughness in micromachining processes. Paper presented at the Computational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on.

2. Chapter 5 - Machine-Type Communications Over 5G Systems: Challenges and Research Trends for Supporting Industrial CPS Applications A2 - Song, Houbing;Condoluci,2017

3. An agent-based simulated annealing algorithm for data reduction;Czarnowski;Agent and Multi-Agent Systems: Technologies and Applications,2010

4. Machine Learning-based CPS for Clustering High throughput Machining Cycle Conditions;Diaz-Rozo;Procedia Manufacturing,2017

5. Competences for cyber-physical systems in manufacturing–first findings and scenarios;Dworschak;Procedia CIRP,2014

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