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Railway Bridges Health Monitoring Supported by Artificial Intelligence

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  1. Article

    Open Access

    A strategy for out-of-roundness damage wheels identification in railway vehicles based on sparse autoencoders

    Wayside monitoring is a promising cost-effective alternative to predict damage in the rolling stock. The main goal of this work is to present an unsupervised methodology to identify out-of-roundness (OOR) dama...

    Jorge Magalhães, Tomás Jorge, Rúben Silva, António Guedes in Railway Engineering Science (2024)