CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition
Author(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) |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring, March 2022, n. 5, v. 21 |
Page(s): | 147592172110500 |
DOI: | 10.1177/14759217211050012 |
- About this
data sheet - Reference-ID
10662020 - Published on:
28/03/2022 - Last updated on:
23/09/2022