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Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends
Environmental effects may lead to cracking, stiffness loss, brace damage, and other damages in bridges, frame structures, buildings, etc. Structural Health Monitoring (SHM) technology could prevent catastrophic events by detecting damage early. In recent years, Deep Learning (DL) has developed rapid...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650096/ https://www.ncbi.nlm.nih.gov/pubmed/37960524 http://dx.doi.org/10.3390/s23218824 |