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CNN-DST: Ensemble deep learning based on Dempster–Shafer theory for vibration-based fault recognition

Author(s): ORCID (Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium)
(Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium)
(Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium)
ORCID (Mechanics of Materials and Structures (MMS), Ghent University, Zwijnaarde, Belgium)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 5, v. 21
Page(s): 147592172110500
DOI: 10.1177/14759217211050012
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217211050012.
  • About this
    data sheet
  • Reference-ID
    10662020
  • Published on:
    28/03/2022
  • Last updated on:
    23/09/2022
 
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