A Robust Deep Learning-Based Damage Identification Approach for SHM Considering Missing Data
Data-driven methods have shown promising results in structural health monitoring (SHM) applications. However, most of these approaches rely on the ideal dataset assumption and do not account for missing data, which can significantly impact their real-world performance. Missing data is a frequently e...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2023-04-01
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| Seria: | Applied Sciences |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2076-3417/13/9/5421 |
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