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An integrated approach for mechanical fault diagnosis using maximum mean square discrepancy representation and CNN-based mixed information fusion

Author(s): (School of Safety and Ocean Engineering, China University of Petroleum, Beijing, China)
(The Department of Mechanical Engineering, Tsinghua University, Beijing, China)
(College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China)
(College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China)
ORCID (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China)
(School of Safety and Ocean Engineering, China University of Petroleum, Beijing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241279996
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: 10.1177/14759217241279996.
  • About this
    data sheet
  • Reference-ID
    10806166
  • Published on:
    10/11/2024
  • Last updated on:
    10/11/2024
 
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