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Adaptive resize-residual deep neural network for fault diagnosis of rotating machinery

Author(s): (School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan, China)
(Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong)
ORCID (Laboratory of Roadway Bridge and Structure Engineering, Wuhan University of Technology, Wuhan, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 22
Page(s): 147592172211222
DOI: 10.1177/14759217221122266
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: 10.1177/14759217221122266.
  • About this
    data sheet
  • Reference-ID
    10693524
  • Published on:
    23/09/2022
  • Last updated on:
    21/06/2023
 
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