Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review

Structural damage detection using unsupervised learning methods has been a trending topic in the structural health monitoring (SHM) research community during the past decades. In the context of SHM, unsupervised learning methods rely only on data acquired from intact structures for training the stat...

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Detalles Bibliográficos
Autores principales: Eltouny, Kareem, Gomaa, Mohamed, Liang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058635/
https://www.ncbi.nlm.nih.gov/pubmed/36992001
http://dx.doi.org/10.3390/s23063290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10058635/
https://www.ncbi.nlm.nih.gov/pubmed/36992001
http://dx.doi.org/10.3390/s23063290

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