Autoencoder‐based method to assess bridge health monitoring data quality
Bowen Xiao,
Jin Di,
Jie Wang
et al.
Abstract:The data quality determines the reliability of big data‐based bridge condition assessments. However, rapidly discerning data conditions and identifying low‐quality data segments pose considerable challenges. This study introduces a transformer‐based autoencoder neural network for rapid data quality assessment in bridge health monitoring. The average Euclidean distance was used to quantify the dispersion of multiple hidden variables, and the overall quality of the multiple data fragments was quantitatively eval… Show more
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