November 30, 2025MachinesOpen Access

Hybrid One-Dimensional Convolutional Neural Network—Recurrent Neural Network Model for Reconstructing Missing Data in Structural Health Monitoring Systems

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Accurate signal reconstruction achieved for data loss in structural health monitoring systems, enhancing decision-making.
Best network configuration for single-channel loss obtained an MAE = 0.019 m/s² and R² = 0.987.
Observational analysis using real-world vibration data from the Trai Hut Bridge assessed model performance across configurations.
Highlights the model's resilience to practical operational challenges in structural health monitoring applications.

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Analysis shows robust signal reconstruction in structural health monitoring, suggesting effective resolution for data loss issues.

Nga et al. (2025) studied this question.

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