36 citations · 88 across the 7 of their papers we have counts for
7 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…
Vibrational quality classification of metallic turbine blades under measurement uncertainty
Liangliang Cheng, Vahid Yaghoubi, Wim V. Paepegem +1
Non-destructive testing on metallic turbine blades is a challenging task due to their complex geometry. Vibrational test-ing such as Process Compensated Resonance Testing (PCRT) ha…
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…
Vibration-Based Condition Monitoring By Ensemble Deep Learning
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem +1
Vibration-based techniques are among the most common condition monitoring approaches. With the advancement of computers, these approaches have also been improved such that recently…
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…
An ensemble classifier for vibration-based quality monitoring
Vahid Yaghoubi, Liangliang Cheng, Wim Van Paepegem +1
Vibration-based quality monitoring of manufactured components often employs pattern recognition methods. Albeit developing several classification methods, they usually provide high…