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The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train

Author(s): (National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China)
(National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China)
(National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China)
(National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China)
ORCID (National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China)
(National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217231220220
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: 10.1177/14759217231220220.
  • About this
    data sheet
  • Reference-ID
    10775607
  • Published on:
    29/04/2024
  • Last updated on:
    29/04/2024
 
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