CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition
| Auteur(s): |
Vahid Yaghoubi
(Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium)
Liangliang Cheng (Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium) Wim Van Paepegem (Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium) Mathias Kersemans
(Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium)
|
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Structural Health Monitoring, mars 2022, n. 5, v. 21 |
| Page(s): | 147592172110500 |
| DOI: | 10.1177/14759217211050012 |
- Informations
sur cette fiche - Reference-ID
10662020 - Publié(e) le:
28.03.2022 - Modifié(e) le:
23.09.2022
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