Structural health monitoring through deep learning: A study on scalogram-based vibration signal classification

View Full Paper

Ask AI

Bookmark

This study shows accurate damage detection using transfer learning and deep learning techniques in vibrational structures.
Employing GoogleNet, the model achieved fine-tuning with less data while classifying damage scenarios from vibration signals.
Using Continuous Wavelet Transform, scalograms retain comprehensive time-frequency information critical for anomaly detection.
The approach supports real-time classification for effective structural health monitoring, increasing reliability in engineering.

Discussion

No takes yet. Share an insight, caveat, or question.

This research demonstrates transfer learning with GoogleNet for accurate damage detection in structures, highlighting scalogram methods.

Muñoz et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark