Damage identification improved significantly with feature-level fusion of multisource vibration signals, demonstrating effective structural monitoring.
The method utilized variational mode decomposition (VMD) for analyzing the vibration signals collected from multiple sources, enhancing the detection accuracy.
Observational analysis highlights the importance of integrating multiple signal sources to improve diagnostic capabilities in structural health monitoring.
The approach suggests that robust identification can lead to better maintenance practices and increased safety for infrastructure.