Eloi Figueiredo

Autoencoder-Assisted Domain Adaptation via Procrustes-Based Latent Alignment for Structural Health Monitoring

Wellington De lima nogueira, S. D. da Silva, Eloi Figueiredo

TL;DR: A framework that combines unsupervised learning and domain adaptation to enhance model transferability under limited data, reducing dependence on labeled datasets while preserving sensitivity to structural and operational changes is proposed.

Abstract: The scarcity of long-term vibration data real-world structures remains a significant barrier to the application of machine learning in structural health monitoring (SHM). Available datasets are often short, unlabeled, and affected by operational and environmental variab…Read more