Work

Digital twins for military aircraft: A machine learning approach for monitoring structural aging

Year: 2025

Type: conference-paper

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Ferrassou, Camille, Escande, Paul, Duval, Mickaël, Bouclier, Robin, Risser, Laurent

Institutions: Institut National des Sciences Appliquées de Toulouse, DGA Techniques aérospatiales, Institut de Mathématiques de Toulouse, Direction Générale de l'Armement, Institut Clément Ader, Communauté d'universités et établissements de Toulouse

Language: English

Topic: Structural Health Monitoring Techniques

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7046555429

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