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1 Ergebnisse
1
A Predictive Maintenance Methodology: Predicting the Time-t..:
, In:
2021 IEEE 19th International Conference on Industrial Informatics (INDIN)
,
Zufle, Marwin
;
Agne, Joachim
;
Grohmann, Johannes
.. - p. 1-8 , 2021
Link:
https://doi.org/10.1109/INDIN45523.2021.9557387
RT T1 <cTitle>2021 IEEE 19th International Conference on Industrial Informatics (INDIN)</cTitle>: T1 <Title>A Predictive Maintenance Methodology: Predicting the Time-to-Failure of Machines in Industry 4.0</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9557387&Exemplar=1&LAN=DE A1 Zufle, Marwin A1 Agne, Joachim A1 Grohmann, Johannes A1 Dortoluk, Ibrahim A1 Kounev, Samuel YR 2021 K1 Training K1 Presses K1 Schedules K1 Neural networks K1 Machine learning K1 Feature extraction K1 Labeling K1 Predictive Maintenance K1 Time-to-Failure K1 Industry 4.0 K1 Sensors K1 Feature Engineering K1 Machine Learning SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/INDIN45523.2021.9557387 DO https://doi.org/10.1109/INDIN45523.2021.9557387 SF ELIB - SuUB Bremen
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