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Non-invasive anomaly diagnosis for hydro electrical generators rotor inter-turn short-circuit detection using stray flux and the VAE

Bechara, H., Zemouri, R., Tahan, A., Kedjar, B., Merkhouf, A. et Al-haddad, K.. 2022. « Non-invasive anomaly diagnosis for hydro electrical generators rotor inter-turn short-circuit detection using stray flux and the VAE ». In International Conference on Electrical Machines (ICEM) (Valencia, Spain, Sept. 05-08, 2022) pp. 1855-1861. Piscataway, NJ, USA : IEEE.

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Item Type: Conference proceeding
Professor:
Professor
Tahan, Antoine
Al Haddad, Kamal
Affiliation: Génie mécanique, Génie électrique
Date Deposited: 14 Nov 2022 19:46
Last Modified: 13 Apr 2023 16:08
URI: https://espace2.etsmtl.ca/id/eprint/25777

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