54 citations · 112 across the 8 of their papers we have counts for
8 papers
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…
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…
Automated Modal Parameter Estimation Using Correlation Analysis and Bootstrap Sampling
Vahid Yaghoubi, Majid K. Vakilzadeh, Thomas J. S. Abrahamsson
The estimation of modal parameters from a set of noisy measured data is a highly judgmental task, with user expertise playing a significant role in distinguishing between estimated…
Sparse polynomial chaos expansions of frequency response functions using stochastic frequency transformation
V. Yaghoubi, S. Marelli, B. Sudret +1
Frequency response functions (FRFs) are important for assessing the behavior of stochastic linear dynamic systems. For large systems, their evaluations are time-consuming even for…
Effective Simulation Methods for Structures with Local Nonlinearity: Magnus integrator and Successive Approximations
Juergen Geiser, Vahid Yaghoubi
In the following, we discuss nonlinear simulations of nonlinear dynamical systems, which are applied in technical and biological models. We deal with different ideas to overcome th…