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1 Ergebnisse
1
Non-Invasive Anomaly Diagnosis for Hydro Electrical Generat..:
, In:
2022 International Conference on Electrical Machines (ICEM)
,
Bechara, H.
;
Zemouri, R.
;
Tahan, A.
... - p. 1855-1861 , 2022
Link:
https://doi.org/10.1109/ICEM51905.2022.9910797
RT T1 <cTitle>2022 International Conference on Electrical Machines (ICEM)</cTitle>: T1 <Title>Non-Invasive Anomaly Diagnosis for Hydro Electrical Generators Rotor Inter-Turn Short-Circuit Detection Using Stray Flux and the VAE</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9910797&Exemplar=1&LAN=DE A1 Bechara, H. A1 Zemouri, R. A1 Tahan, A. A1 Kedjar, B. A1 Merkhouf, A. A1 Al-Haddad, K. YR 2022 K1 Fault diagnosis K1 Training K1 Sensitivity K1 Databases K1 Fault detection K1 Rotors K1 Generators K1 Diagnosis K1 Hydro-electrical generators K1 Non-invasive fault detection K1 Rotor inter-turn short-circuits K1 Stray flux K1 Variational autoencoder SP 1855 OP 1861 LK http://dx.doi.org/https://doi.org/10.1109/ICEM51905.2022.9910797 DO https://doi.org/10.1109/ICEM51905.2022.9910797 SF ELIB - SuUB Bremen
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