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Enhanced hierarchical symbolic sample entropy: Efficient tool for fault diagnosis of rotating machinery

Author(s): (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shanxi, China)
ORCID (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shanxi, China)
(School of Mechanics and Engineering, Northwestern Polytechnical University, Xi’an, Shanxi, China)
(School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shanxi, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 22
Page(s): 147592172211164
DOI: 10.1177/14759217221116417
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: 10.1177/14759217221116417.
  • About this
    data sheet
  • Reference-ID
    10689852
  • Published on:
    13/08/2022
  • Last updated on:
    30/05/2023
 
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