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A generalized data-driven framework for guided wave-based damage localization and severity determination across different structures using small-sample data
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DOI：10.1016/j.measurement.2026.121530.png)
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Abstract
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• Generalized framework of damage identification using guided waves is proposed. • High-order beam model performs construction towards small-sample scenarios. • Deep learning-based approach is developed for generalizing damage detection. • Interpretable method is adopted for analyzing model identification results.
Keywords:
Guided waves
Deep learning
Small-sample
Damage detection
SHapley Additive exPlanations
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