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1 Ergebnisse
1
Machine learning for monitoring and predictive maintenance ..:
, In:
2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)
,
Bonci, Andrea
;
Di Biase, Alessandro
;
Franco Dragoni, Aldo
... - p. 1-8 , 2022
Link:
https://doi.org/10.1109/ETFA52439.2022.9921571
RT T1 <cTitle>2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)</cTitle>: T1 <Title>Machine learning for monitoring and predictive maintenance of cutting tool wear for clean-cut machining machines</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9921571&Exemplar=1&LAN=DE A1 Bonci, Andrea A1 Di Biase, Alessandro A1 Franco Dragoni, Aldo A1 Longhi, Sauro A1 Sernani, Paolo A1 Zega, Alessandro YR 2022 K1 Degradation K1 Training K1 Cutting tools K1 Analytical models K1 Predictive models K1 Prediction algorithms K1 Classification algorithms K1 machine learning K1 cutting tool wear K1 condition monitoring K1 predictive maintenance SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/ETFA52439.2022.9921571 DO https://doi.org/10.1109/ETFA52439.2022.9921571 SF ELIB - SuUB Bremen
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