Genetic Algorithm and VR for Assessing the Level of Expertise of Maintenance Operator
Communication avec acte
Auteur
GUILLET, Christophe
300270 Université de Bourgogne [UB]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
300270 Université de Bourgogne [UB]
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
Résumé
The study aims to find the features for assessing the level of a maintenance operator. A genetic algorithm is used to identify the most relevant features and reduce their size. Based on 30 different features entered, we demonstrate that only three operator-level evaluation features provide a good classification. Virtual reality was used to simulate maintenance operations, collect data, and validate our method for identifying the most relevant features.
Fichier(s) constituant cette publication
- Nom:
- LISPEN_XR_SALENTO_2024_FOLTYN.pdf
- Taille:
- 1.136Mo
- Format:
- Fin d'embargo:
- 2025-04-01
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