A Dual-Domain Deep Convolutional Variational Autoencoder Framework for Unsupervised Structural Health Monitoring Using Vision-Based Vibration Analysis

Abstract

AbstractThis study introduces a novel unsupervised machine learning approach for structural health monitoring (SHM), employing a dual-domain deep convolutional variational autoencoder (DD-CVAE). Conventional SHM techniques often require expensive sensor ...