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This review aims to explore various deep learning techniques applied in damage detection for structural health monitoring.

Deep Learning Techniques for Damage Detection in Structural Health Monitoring: A Review

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This review aims to explore various deep learning techniques applied in damage detection for structural health monitoring.
Systematic review of deep learning applications in damage detection.
Analysis of neural networks and computer vision techniques used in structural monitoring.
Evaluation of performance metrics associated with the reviewed methods.
Identified multiple deep learning algorithms that enhance damage detection accuracy.
Highlighted the successful application of neural networks in analyzing structural integrity.
Concluded that these techniques significantly improve real-time damage detection capabilities.

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Review details damage detection methods in structural health monitoring using deep learning techniques, indicating their effectiveness.

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Fidma et al. (2025) studied this question.

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Review details damage detection methods in structural health monitoring using deep learning techniques, indicating their effectiveness.

International audience