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Multi-representation symbolic convolutional neural network: a novel multisource cross-domain fault diagnosis method for rotating system

Author(s): (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
ORCID (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
(School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
(School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 6, v. 22
Page(s): 147592172311574
DOI: 10.1177/14759217231157487
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: 10.1177/14759217231157487.
  • About this
    data sheet
  • Reference-ID
    10730080
  • Published on:
    30/05/2023
  • Last updated on:
    14/01/2024
 
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