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1 Ergebnisse
1
An Acoustical Machine Learning Approach to Determine Abrasi..:
, In:
2022 IEEE Sensors
,
Bundscherer, Maximilian
;
Schmitt, Thomas H.
;
Bayerl, Sebastian
.. - p. 1-4 , 2022
Link:
https://doi.org/10.1109/SENSORS52175.2022.9967324
RT T1
2022 IEEE Sensors
: T1
An Acoustical Machine Learning Approach to Determine Abrasive Belt Wear of Wide Belt Sanders
UL https://suche.suub.uni-bremen.de/peid=ieee-9967324&Exemplar=1&LAN=DE A1 Bundscherer, Maximilian A1 Schmitt, Thomas H. A1 Bayerl, Sebastian A1 Auerbach, Thomas A1 Bocklet, Tobias YR 2022 SN 2168-9229 K1 Neural networks K1 Belts K1 Acoustics K1 Abrasives K1 Sensors K1 Feeds K1 Decision trees K1 acoustic sensors K1 abrasive belt wear K1 tool wear K1 machine learning K1 industrial process K1 wide belt sanding machines SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/SENSORS52175.2022.9967324 DO https://doi.org/10.1109/SENSORS52175.2022.9967324 SF ELIB - SuUB Bremen
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