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Author

O. Øiseth

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Open access Aug 2026

Unsupervised damage detection using singular-vector feature maps and 2D convolutional autoencoders: Validation on a multi-state shear-frame experiment

We present an unsupervised, vibration-based damage detection framework that integrates a new cross-spectral feature with a deep convolutional autoencoder (CAE). While autoencoders have been widely explored for analyzing time-series responses, the use of spectral features—and particularly those exploiting cross-spectral...

D. Raviolo, K. Kvåle, Ø. Petersen et al. · 0 citations

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