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Drill bit wear monitoring and failure prediction for mining..:
Rafezi, Hamed
;
Hassani, Ferri
International Journal of Mining Science and Technology. 33 (2023) 3 - p. 289-296 , 2023
Link:
https://doi.org/10.1016/j.ijmst.2022.10.006
RT Journal T1 <Title>Drill bit wear monitoring and failure prediction for mining automation</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.ijmst.2022.10.006&Exemplar=1&LAN=DE A1 Rafezi, Hamed A1 Hassani, Ferri PB Elsevier BV YR 2023 SN 2095-2686 JF International Journal of Mining Science and Technology VO 33 IS 3 SP 289 OP 296 LK http://dx.doi.org/https://doi.org/10.1016/j.ijmst.2022.10.006 DO https://doi.org/10.1016/j.ijmst.2022.10.006 SF ELIB - SuUB Bremen
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