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Severity faults classification in hybrid electric vehicles' permanent magnet machines for prognostic purposes

Riham Ginzarly 1 Ghaleb Hoblos 2 Nazih Moubayed 3
1 IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués
2 Pôle Automatique et Systèmes
IRSEEM - Institut de Recherche en Systèmes Electroniques Embarqués
3 LU - Lebanese University [Beirut]
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Journal articles
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https://hal-normandie-univ.archives-ouvertes.fr/hal-02331354
Contributor : Ghaleb Hoblos <>
Submitted on : Thursday, October 24, 2019 - 12:54:10 PM
Last modification on : Thursday, September 10, 2020 - 4:51:22 PM

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COMUE-NORMANDIE | ESIGELEC | UNIROUEN | IRSEEM | TDS-MACS

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Riham Ginzarly, Ghaleb Hoblos, Nazih Moubayed. Severity faults classification in hybrid electric vehicles' permanent magnet machines for prognostic purposes. International Journal of Computer Aided Engineering and Technology, Inderscience Publishers, 2017, 9 (4), pp.480. ⟨10.1504/IJCAET.2017.086935⟩. ⟨hal-02331354⟩

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