Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves

Data-driven analysis for damage assessment has a large potential in structural health monitoring (SHM) systems, where sensors are permanently attached to the structure, enabling continuous and frequent measurements. In this contribution, we propose a machine learning (ML) approach for automated dama...

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Detalles Bibliográficos
Autores principales: Schnur, Christopher, Goodarzi, Payman, Lugovtsova, Yevgeniya, Bulling, Jannis, Prager, Jens, Tschöke, Kilian, Moll, Jochen, Schütze, Andreas, Schneider, Tizian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749564/
https://www.ncbi.nlm.nih.gov/pubmed/35009948
http://dx.doi.org/10.3390/s22010406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749564/
https://www.ncbi.nlm.nih.gov/pubmed/35009948
http://dx.doi.org/10.3390/s22010406

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