Data Loss Reconstruction Method for a Bridge Weigh-in-Motion System Using Generative Adversarial Networks

In the application of a bridge weigh-in-motion (WIM) system, the collected data may be temporarily or permanently lost due to sensor failure or system transmission failure. The high data loss rate weakens the distribution characteristics of the collected data and the ability of the monitoring system...

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Detalles Bibliográficos
Autores principales: Zhuang, Yizhou, Qin, Jiacheng, Chen, Bin, Dong, Chuanzhi, Xue, Chenbo, Easa, Said M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839323/
https://www.ncbi.nlm.nih.gov/pubmed/35161604
http://dx.doi.org/10.3390/s22030858

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839323/
https://www.ncbi.nlm.nih.gov/pubmed/35161604
http://dx.doi.org/10.3390/s22030858

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