Dynamic Warning Method for Structural Health Monitoring Data Based on ARIMA: Case Study of Hong Kong–Zhuhai–Macao Bridge Immersed Tunnel

Structural health monitoring (SHM) is gradually replacing traditional manual detection and is becoming a focus of the research devoted to the operation and maintenance of tunnel structures. However, in the face of massive SHM data, the autonomous early warning method is still required to further red...

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Detalles Bibliográficos
Autores principales: Chen, Jianzhong, Jiang, Xinghong, Yan, Yu, Lang, Qing, Wang, Hui, Ai, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414641/
https://www.ncbi.nlm.nih.gov/pubmed/36015945
http://dx.doi.org/10.3390/s22166185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414641/
https://www.ncbi.nlm.nih.gov/pubmed/36015945
http://dx.doi.org/10.3390/s22166185

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