Data-Driven Energy Modeling of Machining Centers Through Automata Learning

The paper addresses the problem of estimating the energy consumed by production resources in manufacturing so that alternative process designs can be compared in terms of energy expenditure. In particular, the proposed methodology focuses on Computer Numerical Controlled (CNC) machining centers. Cla...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 22; S. 5769 - 5780
Hauptverfasser:	Lestingi, Livia, Frigerio, Nicla, Bersani, Marcello M., Matta, Andrea, Rossi, Matteo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	automata learning Biological system modeling data-driven modeling Energy consumption Energy modeling Machining Numerical models Predictive models Task analysis Training
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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