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A Novelty Detection Approach for Tendons of Prestressed Concrete Bridges Based on a Convolutional Autoencoder and Acceleration Data

The most important structural element of prestressed concrete (PSC) bridges is the prestressed tendon, and in order to ensure safety of such bridges, it is very important to determine whether the tendon is damaged. However, it is not easy to detect tendon damage in real time. This study proposes a n...

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Detalles Bibliográficos
Autores principales: Lee, Kanghyeok, Jeong, Seunghoo, Sim, Sung-Han, Shin, Do Hyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479937/
https://www.ncbi.nlm.nih.gov/pubmed/30959777
http://dx.doi.org/10.3390/s19071633