Health Monitoring of Large-Scale Civil Structures: An Approach Based on Data Partitioning and Classical Multidimensional Scaling

A major challenge in structural health monitoring (SHM) is the efficient handling of big data, namely of high-dimensional datasets, when damage detection under environmental variability is being assessed. To address this issue, a novel data-driven approach to early damage detection is proposed here....

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Detalles Bibliográficos
Autores principales: Entezami, Alireza, Sarmadi, Hassan, Behkamal, Behshid, Mariani, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956361/
https://www.ncbi.nlm.nih.gov/pubmed/33652995
http://dx.doi.org/10.3390/s21051646

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7956361/
https://www.ncbi.nlm.nih.gov/pubmed/33652995
http://dx.doi.org/10.3390/s21051646

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