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Intelligent fault diagnosis of rotating machinery using composite multivariate-based multi-scale symbolic dynamic entropy with multi-source monitoring data

Author(s): ORCID (Xi’an Key Laboratory of Advanced Control and Intelligent Process, Xi’an, China)
ORCID (School of Automation, XI’AN University of Posts & Telecommunications, Xi’an, China)
ORCID (School of Automation, XI’AN University of Posts & Telecommunications, Xi’an, China)
(School of Automation, XI’AN University of Posts & Telecommunications, Xi’an, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 22
Page(s): 147592172210796
DOI: 10.1177/14759217221079668
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: 10.1177/14759217221079668.
  • About this
    data sheet
  • Reference-ID
    10665301
  • Published on:
    09/05/2022
  • Last updated on:
    20/02/2023
 
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