36 citations · 88 across the 4 of their papers we have counts for
4 papers
k-space Physics-informed Neural Network (k-PINN) for Compressed Spectral Mapping and Efficient Inversion of Vibrations in Thin Composite Laminates
Saeid Hedayatrasa, Olga Fink, Wim Van Paepegem +1
The vibrational response of structural components carries valuable information about their underlying mechanical properties, health status and operational conditions. This undersco…
CNN-DST: ensemble deep learning based on Dempster-Shafer theory for vibration-based fault recognition
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem +1
Nowadays, using vibration data in conjunction with pattern recognition methods is one of the most common fault detection strategies for structures. However, their performances depe…
A novel multi-classifier information fusion based on Dempster-Shafer theory: application to vibration-based fault detection
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem +1
Achieving a high prediction rate is a crucial task in fault detection. Although various classification procedures are available, none of them can give high accuracy in all applicat…
Vibro-Thermal Wave Radar: Application of Barker coded amplitude modulation for enhanced low-power vibrothermographic inspection of composites
Saeid Hedayatrasa, Joost Segers, Gaétan Poelman +2
This paper investigates the performance of the thermal wave radar imaging technique in low-power vibrothermography, so-called vibro-thermal wave radar (VTWR), for non-destructive i…