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Two-level fusion of multi-sensor information for compressor blade crack detection based on self-attention mechanism

Author(s): ORCID (School of Mechanical Engineering, Southeast University, Nanjing, PR China)
(School of Mechanical Engineering, Southeast University, Nanjing, PR China)
ORCID (School of Mechanical Engineering, Southeast University, Nanjing, PR China)
ORCID (School of Mechanical Engineering, Southeast University, Nanjing, PR China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 22
Page(s): 147592172211165
DOI: 10.1177/14759217221116599
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: 10.1177/14759217221116599.
  • About this
    data sheet
  • Reference-ID
    10689837
  • Published on:
    13/08/2022
  • Last updated on:
    30/05/2023
 
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