Automated X-ray-based damage detection and characterisation in composite materials by data-driven anomaly predictor models trained by a fusion of real and simulated X-ray data

Lecture

23.11.2023

Bosse, S. (Speaker)¹; Lehmhus, D.²

¹University of Bremen; ²Fraunhofer Institute for Manufacturing Technology and Advanced Materials IFAM, Bremen

Vorschau

24 Min. Untertitel (CC)

Abstract

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