An Adaptive Multi-Method Approach to Enhancing the Quality of Anomalous Data in Bridge Structural Health Monitoring
Bridge structural health monitoring (SHM) data often contain isolated outliers and consecutive gaps that can bias condition assessment. This study develops an adaptive framework combining outlier screening with multi-method gap reconstruction. Outliers are screened using sliding-window value and first-difference interq...