Unsupervised structural health monitoring using physics-based vibration features derived from an instrumented bridge mockup
Structural health monitoring (SHM) of civil infrastructure is often limited by the scarcity of labeled damage data required for supervised machine learning approaches. This study presents an unsupervised SHM framework that combines physics-based vibration features with novelty detection algorithms for damage identifica...