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A convolutional multisensor fusion fault diagnosis framework based on multidimensional distance matrix for rotating machinery

Author(s): (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China)
(School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China)
ORCID (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China)
(School of Electro-mechanical Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China)
(School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China)
(School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China)
(School of Mechanical Engineering and Automation, Northeastern University, Shenyang, Liaoning, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241296804
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: 10.1177/14759217241296804.
  • About this
    data sheet
  • Reference-ID
    10812104
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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