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Open access Oct 2026

Bridge data anomaly detection based on improved WGAN-GP and CBAM-Dense-DANN

Data anomaly detection based on machine learning models has been widely applied in bridge health monitoring systems to automatically identify anomalous monitoring data. However, its performance is often constrained by the randomness, scarcity, and limited distributional representativeness of known anomalous data. Thi...

Xu-Lei Zhao, Wen-Yu He, Zhu Liang et al. · 0 citations
Sep 2026

Target-free Full-Field Modal Identification of Bridges Based on Computer Vision

Full-field mode shape is critical for bridge condition assessment, as it can capture minute distortions induced by local degradation. However, existing computer vision-based measurement methods often fail to balance implementation efficiency and spatial resolution due to their reliance on artificial targets, typically...

Ming-Rui Zhan, Wen-Yu He, Zhi-Dong Li et al. · 0 citations

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