Self-Supervised Learning for Data Scarcity in a Fatigue Damage Prognostic Problem - Akrim, Anass; Gogu, Christian; Vingerhoeds, Rob; Salaün, Michel (arXiv.org, 2023)
Keywords: Aluminum base alloys; Availability; Computer Science - Artificial Intelligence; Computer Science - Learning; Crack propagation; Damage; Datasets; Deep learning; Fatigue cracks; Fatigue failure; Machine learning; Performance prediction; Self-supervised learning; Statistics - Machine Learning; Strain gauges; Unsupervised learning