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An intelligent data capturing framework to improve conditio..:
Robyns, Steven
;
Helsen, Stijn
;
Weckx, Sam
...
Procedia Computer Science. 217 (2023) - p. 709-719 , 2023
Link:
https://doi.org/10.1016/j.procs.2022.12.267
RT Journal T1
An intelligent data capturing framework to improve condition monitoring and anomaly detection for industrial machines
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.procs.2022.12.267&Exemplar=1&LAN=DE A1 Robyns, Steven A1 Helsen, Stijn A1 Weckx, Sam A1 Bhoi, Sachin Kumar A1 Baghdadi, Mohamed El A1 Hegazy, Omar A1 De Smet, Jasper PB Elsevier BV YR 2023 SN 1877-0509 JF Procedia Computer Science VO 217 SP 709 OP 719 LK http://dx.doi.org/https://doi.org/10.1016/j.procs.2022.12.267 DO https://doi.org/10.1016/j.procs.2022.12.267 SF ELIB - SuUB Bremen
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