Researcher
Vahid Yaghoubi Nasrabadi
- Keywords:Materials engineering
- Disciplines:Other materials engineering, Other mechanical and manufacturing engineering
Affiliations
- Department of Materials, Textiles and Chemical Engineering (Department)
Member
From1 Mar 2019 → 30 Apr 2021
Publications
1 - 10 of 13
- Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty(2023)
Authors: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans
Pages: 166 - 179 - An ensemble classifier for vibration-based quality monitoring(2022)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Mathias Kersemans
- CNN-DST : ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition(2022)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
Pages: 2063 - 2082 - A novel multi-classifier information fusion based on Dempster-Shafer theory : application to vibration-based fault detection(2022)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Mathias Kersemans
Pages: 596 - 612 - Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification system(2021)
Authors: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans
Pages: 3075 - 3091 - Vibrational quality classification of metallic turbine blades under measurement uncertainty(2021)
Authors: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans
Number of pages: 1 - Modeling detrimental effects of high surface roughness on the fatigue behavior of additively manufactured Ti-6Al-4V alloys(2021)
Authors: Tien Dung Dinh, Shiwei Han, Vahid Yaghoubi Nasrabadi, Hao Xiang, H. Erdelyi, T. Craeghs, Joost Segers, Wim Van Paepegem
- Data preparation for training CNNs : application to vibration-based condition monitoring(2021)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
Number of pages: 1 - Vibration-based condition monitoring by ensemble deep learning(2021)
Authors: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
Number of pages: 1 - On the influence of reference Mahalanobis distance space for quality classification of complex metal parts using vibrations(2020)
Authors: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans