2 papers
cs.LG2024
Transferring self-supervised pre-trained models for SHM data anomaly detection with scarce labeled data
Mingyuan Zhou, Xudong Jian, Ye Xia +1
Structural health monitoring (SHM) has experienced significant advancements in recent decades, accumulating massive monitoring data. Data anomalies inevitably exist in monitoring d…
cs.CE2024
Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures
Xudong Jian, Yutong Xia, Gregory Duthé +3
The Population-Based Structural Health Monitoring (PBSHM) paradigm has recently emerged as a promising approach to enhance data-driven assessment of engineering structures by facil…