Subsequence-level data cleaning method for structural health monitoring using one-class SVM and PatchTST
Structural Health Monitoring: An International Journal
Published online on July 10, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Data cleaning is essential for ensuring the quality of bridge health monitoring data. Existing methods face challenges in anomaly detection and repair, often constrained by model complexity, overfitting, and inadequate integration of spatiotemporal ...
Data cleaning is essential for ensuring the quality of bridge health monitoring data. Existing methods face challenges in anomaly detection and repair, often constrained by model complexity, overfitting, and inadequate integration of spatiotemporal ...