Kistler (Switzerland)

Disentangling damage from operational variability: A label-free self-supervised representation learning framework for output-only structural damage identification

Damage identification is a core task in structural health monitoring. In practice, however, its reliability is often compromised by confounding non-damage effects, such as variations in excitation and environmental conditions, which can induce changes comparable to or larger than...