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Deep Variational Autoencoder: An Efficient Tool for PHM Frameworks

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https://hal-cnam.archives-ouvertes.fr/hal-02868384
Contributor : Ryad Zemouri <>
Submitted on : Monday, June 15, 2020 - 1:47:11 PM
Last modification on : Wednesday, July 8, 2020 - 3:34:51 AM

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Ryad Zemouri, Melanie Levesque, Normand Amyot, Claude Hudon, Olivier Kokoko. Deep Variational Autoencoder: An Efficient Tool for PHM Frameworks. 2020 Prognostics and Health Management Conference (PHM-Besançon), May 2020, Besancon, France. pp.235-240, ⟨10.1109/PHM-Besancon49106.2020.00046⟩. ⟨hal-02868384⟩

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