Onderzoeker
Vahid Yaghoubi Nasrabadi
- Trefwoorden:Materiaaltechnologie
- Disciplines:Andere materiaaltechnologie, Andere mechanische en productie ingenieurswetenschappen
Affiliaties
- Vakgroep Materialen, Textiel en Chemische Proceskunde (Departement)
Lid
Vanaf1 mrt 2019 → 30 apr 2021
Publicaties
1 - 10 van 13
- Integrated interval Mahalanobis classification system for the quality classification of turbine blades based on vibrational data incorporating measurement uncertainty(2023)
Auteurs: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans
Pagina's: 166 - 179 - Vibrational quality classification of metallic turbine blades under measurement uncertainty(2021)
Auteurs: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans
Aantal pagina's: 1 - Quality inspection of complex-shaped metal parts by vibrations and an integrated Mahalanobis classification system(2021)
Auteurs: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans
Pagina's: 3075 - 3091 - Vibration-based condition monitoring by ensemble deep learning(2021)
Auteurs: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
Aantal pagina's: 1 - Data preparation for training CNNs : application to vibration-based condition monitoring(2021)
Auteurs: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Wim Van Paepegem, Mathias Kersemans
Aantal pagina's: 1 - Mahalonobis classification system for quality classification of complex metallic turbine blades(2020)
Auteurs: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Wim Van Paepegem, Mathias Kersemans, W. Desmet, B. Pluymers, D. Moens, S. Vandemaele
Pagina's: 2985 - 2994 - A novel multi-classifier information fusion based on Dempster-Shafer theory : application to vibration-based fault detection
Auteurs: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Mathias Kersemans
Pagina's: 596 - 612 - CNN-DST : ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition
Auteurs: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Mathias Kersemans
Pagina's: 2063 - 2082 - On the influence of reference Mahalanobis distance space for quality classification of complex metal parts using vibrations
Auteurs: Liangliang Cheng, Vahid Yaghoubi Nasrabadi, Mathias Kersemans
- An ensemble classifier for vibration-based quality monitoring
Auteurs: Vahid Yaghoubi Nasrabadi, Liangliang Cheng, Mathias Kersemans