High-Dimensional Phase Space Reconstruction with a Convolutional Neural Network for Structural Health Monitoring

In order to accurately diagnose the health of high-order statically indeterminate structures, most existing structural health monitoring (SHM) methods require multiple sensors to collect enough information. However, comprehensive data collection from multiple sensors for high degree-of-freedom struc...

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Detalles Bibliográficos
Autores principales: Chen, Yen-Lin, Chiang, Yuan, Chiu, Pei-Hsin, Huang, I-Chen, Xiao, Yu-Bai, Chang, Shu-Wei, Huang, Chang-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158099/
https://www.ncbi.nlm.nih.gov/pubmed/34070068
http://dx.doi.org/10.3390/s21103514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158099/
https://www.ncbi.nlm.nih.gov/pubmed/34070068
http://dx.doi.org/10.3390/s21103514

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