A Damage Detection Approach for Axially Loaded Beam-like Structures Based on Gaussian Mixture Model

Axially loaded beam-like structures represent a challenging case study for unsupervised learning vibration-based damage detection. Under real environmental and operational conditions, changes in axial load cause changes in the characteristics of the dynamic response that are significantly greater th...

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Detalles Bibliográficos
Autores principales: Lucà, Francescantonio, Manzoni, Stefano, Cerutti, Francesco, Cigada, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655330/
https://www.ncbi.nlm.nih.gov/pubmed/36366033
http://dx.doi.org/10.3390/s22218336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9655330/
https://www.ncbi.nlm.nih.gov/pubmed/36366033
http://dx.doi.org/10.3390/s22218336

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