Interpretable AI for Guided-Wave SHM of Anisotropic Composites: Toward Trustworthy Damage Diagnosis
The use of Artificial Intelligence (AI) in Structural Health Monitoring (SHM) offers powerful capabilities for damage detection, localization, and quantification in complex composite structures. However, many data-driven models act as black boxes, providing limited interpretability and weak connect...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Alemão |
| Publié: |
NDT.net
2026-02-01
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| Collection: | e-Journal of Nondestructive Testing |
| Accès en ligne: | https://www.ndt.net/search/docs.php3?id=32502 |
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