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. and 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.
Compte des citations dans Scopus : 4.

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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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