A methodological review on the combined use of mixed reality and artificial intelligence for predictive maintenance in industry

Matthias Risy; Zineb Simeu-Abazi; E. Gascard

doi:10.1109/ICCAD60883.2024.10553925

Communication Dans Un Congrès Année : 2024

A methodological review on the combined use of mixed reality and artificial intelligence for predictive maintenance in industry

(1) , (1) , (1)

1

Matthias Risy

Fonction : Auteur

Design, Engineering and Operation Management of Systems and Services

Zineb Simeu-Abazi

Fonction : Auteur
PersonId : 2843
IdHAL : zineb-simeu-abazi
ORCID : 0000-0002-1660-3960
IdRef : 082016798

Design, Engineering and Operation Management of Systems and Services

E. Gascard

Fonction : Auteur
PersonId : 6218
IdHAL : eric-gascard
ORCID : 0000-0003-4332-0752
IdRef : 075611287

Design, Engineering and Operation Management of Systems and Services

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Automatique / Robotique

Eric Gascard : Connectez-vous pour contacter le contributeur

https://hal.univ-grenoble-alpes.fr/hal-04638134

Soumis le : lundi 8 juillet 2024-10:32:59

Dernière modification le : mercredi 18 décembre 2024-09:33:40

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hal-04638134 , version 1 (08-07-2024)

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HAL Id : hal-04638134 , version 1
DOI : 10.1109/ICCAD60883.2024.10553925

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Matthias Risy, Zineb Simeu-Abazi, E. Gascard. A methodological review on the combined use of mixed reality and artificial intelligence for predictive maintenance in industry. 2024 International Conference on Control, Automation and Diagnosis (ICCAD), May 2024, Paris, France. pp.1-6, ⟨10.1109/ICCAD60883.2024.10553925⟩. ⟨hal-04638134⟩

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A methodological review on the combined use of mixed reality and artificial intelligence for predictive maintenance in industry

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