A deep learning-empowered data anomaly detection method based on a symmetric dot pattern for bridge monitoring data
Structural Health Monitoring: An International Journal
Published online on February 14, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
With the widespread applications of bridge structural health monitoring systems (SHMS), massive amounts of abnormal data caused by sensor faults have significantly reduced the reliability of structural health diagnosis. Traditional sensor anomaly ...
With the widespread applications of bridge structural health monitoring systems (SHMS), massive amounts of abnormal data caused by sensor faults have significantly reduced the reliability of structural health diagnosis. Traditional sensor anomaly ...