G. Truong

CNN-self-attention framework for enhanced impedance-based damage detection under vibration and noisy environments

This study proposes a data-driven SHM framework that integrates piezoelectric electromechanical impedance sensing with a hybrid one-dimensional convolutional neural network and self-attention model for robust joint condition assessment and outperformed three benchmark deep learning models.