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1 Ergebnisse
1
Anomaly Detection for Large Hydrogenerators Using the Varia..:
, In:
2022 International Conference on Electrical Machines (ICEM)
,
Ibrahim, R.
;
Zemouri, R.
;
Tahan, A.
... - p. 1609-1615 , 2022
Link:
https://doi.org/10.1109/ICEM51905.2022.9910728
RT T1 <cTitle>2022 International Conference on Electrical Machines (ICEM)</cTitle>: T1 <Title>Anomaly Detection for Large Hydrogenerators Using the Variational Autoencoder Based on Vibration Signals</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9910728&Exemplar=1&LAN=DE A1 Ibrahim, R. A1 Zemouri, R. A1 Tahan, A. A1 Lafleur, F. A1 Kedjar, B. A1 Merkhouf, A. A1 Al-Haddad, K. YR 2022 K1 Vibrations K1 Training K1 Fault diagnosis K1 Electric potential K1 Sensitivity K1 Three-dimensional displays K1 Rotors K1 hydrogenerators K1 diagnosis K1 dataset K1 vibration K1 inter-turn short-circuits K1 Variational Autoencoder SP 1609 OP 1615 LK http://dx.doi.org/https://doi.org/10.1109/ICEM51905.2022.9910728 DO https://doi.org/10.1109/ICEM51905.2022.9910728 SF ELIB - SuUB Bremen
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