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1 Ergebnisse
1
Empirical Research in Anomaly Detection for Rotating Machin..:
, In:
2022 IEEE International Conference on Big Data (Big Data)
,
Lee, Chae-Won
;
Cho, So-Hyun
;
Lee, Jong-Hun
... - p. 6758-6760 , 2022
Link:
https://doi.org/10.1109/BigData55660.2022.10020238
RT T1 <cTitle>2022 IEEE International Conference on Big Data (Big Data)</cTitle>: T1 <Title>Empirical Research in Anomaly Detection for Rotating Machines Diagnosis using Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10020238&Exemplar=1&LAN=DE A1 Lee, Chae-Won A1 Cho, So-Hyun A1 Lee, Jong-Hun A1 Lee, Jun-Seong A1 Choi, Sungchul A1 Seo, Won-Chul YR 2022 K1 Deep learning K1 Vibrations K1 Wavelet transforms K1 Shafts K1 Analytical models K1 Wavelet domain K1 Rotating machines K1 Steel rolling process K1 Industrial AI K1 Machine learning Regression SP 6758 OP 6760 LK http://dx.doi.org/https://doi.org/10.1109/BigData55660.2022.10020238 DO https://doi.org/10.1109/BigData55660.2022.10020238 SF ELIB - SuUB Bremen
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