Bridge damage identification using unsupervised deep learning through variational autoencoders
Structural Health Monitoring: An International Journal
Published online on February 20, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
While supervised structural health monitoring (SHM) systems can potentially accurately detect and localize damage in bridge structures, they require labeled datasets containing healthy and damaged states to develop decision-making models. Obtaining ...
While supervised structural health monitoring (SHM) systems can potentially accurately detect and localize damage in bridge structures, they require labeled datasets containing healthy and damaged states to develop decision-making models. Obtaining ...