Damage Detection and Localization under Variable Environmental Conditions Using Compressed and Reconstructed Bayesian Virtual Sensor Data

Structural health monitoring (SHM) with a dense sensor network and repeated vibration measurements produces lots of data that have to be stored. If the sensor network is redundant, data compression is possible by storing the signals of selected Bayesian virtual sensors only, from which the omitted s...

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Detalles Bibliográficos
Autor principal: Kullaa, Jyrki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749672/
https://www.ncbi.nlm.nih.gov/pubmed/35009842
http://dx.doi.org/10.3390/s22010306

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749672/
https://www.ncbi.nlm.nih.gov/pubmed/35009842
http://dx.doi.org/10.3390/s22010306

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