Damage-Detection Approach for Bridges with Multi-Vehicle Loads Using Convolutional Autoencoder

Deep learning has been widely employed in recent studies on bridge-damage detection to improve the performance of damage-detection methods. Unsupervised deep learning can be effectively utilized to increase the applicability of damage-detection approaches. Hence, the authors propose a convolutional-...

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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 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914843/
https://www.ncbi.nlm.nih.gov/pubmed/35270984
http://dx.doi.org/10.3390/s22051839

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914843/
https://www.ncbi.nlm.nih.gov/pubmed/35270984
http://dx.doi.org/10.3390/s22051839

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