Unsupervised structural damage detection methodology using deep convolutional autoencoder and image clustering with wavelet transmissibility pattern spectra
Vibration-based structural damage detection under non-stationary excitation remains challenging due to the complex time-varying characteristics of structural responses and the limited availability of labeled data. Although existing unsupervised deep learning approaches have demonstrated potential for extracting damage-...