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1 Ergebnisse
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Machine learning-based anomaly detection via integration of..:
조성준
;
Ko, Taehoon
;
Lee, Je Hyuk
...
Industrial Management and Data Systems, Vol.117 No.5, pp.927-945. , 2018
Link:
https://hdl.handle.net/10371/148733
RT Journal T1
Machine learning-based anomaly detection via integration of manufacturing, inspection and after-sales service data
UL https://suche.suub.uni-bremen.de/peid=base-ftseoulnuniv:oai:s-space.snu.ac.kr:10371_148733&Exemplar=1&LAN=DE A1 조성준 A1 Ko, Taehoon A1 Lee, Je Hyuk A1 Cho, Hyunchang A1 Cho, Sungzoon A1 Lee, Wounjoo A1 Lee, Miji PB Emerald Group Publishing Ltd. YR 2018 K1 STATISTICAL PROCESS-CONTROL K1 FAULT-DETECTION K1 NOVELTY DETECTION K1 RECOGNITION TECHNIQUES K1 ALGORITHMS K1 SELECTION K1 Manufacturing process K1 Machine learning K1 Data integration K1 After-sales service K1 Anomaly detection K1 Heavy machinery engine JF Industrial Management and Data Systems, Vol.117 No.5, pp.927-945 LK http://dx.doi.org/https://hdl.handle.net/10371/148733 DO https://hdl.handle.net/10371/148733 SF ELIB - SuUB Bremen
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