FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

Non-invasive detection of rotor inter-turn short circuit of a hydrogenerator using AI-based variational autoencoder

Ibrahim, Rony, Zemouri, Ryad, Kedjar, Bachir, Merkhouf, Arezki, Tahan, Antoine, Al-Haddad, Kamal and Lafleur, François. 2024. « Non-invasive detection of rotor inter-turn short circuit of a hydrogenerator using AI-based variational autoencoder ». IEEE Transactions on Industry Applications, vol. 60, nº 1. pp. 28-37.
Compte des citations dans Scopus : 2.

The full text of this document is not available here.
Rechercher dans Google Scholar
Item Type: Peer reviewed article published in a journal
Professor:
Professor
Tahan, Antoine
Al Haddad, Kamal
Affiliation: Génie mécanique, Génie électrique
Date Deposited: 04 Mar 2024 15:51
Last Modified: 04 Mar 2024 15:51
URI: https://espace2.etsmtl.ca/id/eprint/28392

Actions (login required)

View Item View Item