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A novel feature extraction method based on symbol-scale diversity entropy and its application for fault diagnosis of rotary machines

Author(s): ORCID (MIIT Key Laboratory of Dynamics and Control of Complex System, School of Aeronautics, Northwestern Polytechnical University, Xian, China)
ORCID (MIIT Key Laboratory of Dynamics and Control of Complex System, School of Aeronautics, Northwestern Polytechnical University, Xian, China)
(MIIT Key Laboratory of Dynamics and Control of Complex System, School of Aeronautics, Northwestern Polytechnical University, Xian, China)
(School of Engineering, University of British Columbia, Kelowna, BC, Canada)
(MIIT Key Laboratory of Dynamics and Control of Complex System, School of Aeronautics, Northwestern Polytechnical University, Xian, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 23
Page(s): 1423-1448
DOI: 10.1177/14759217231186357
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: 10.1177/14759217231186357.
  • About this
    data sheet
  • Reference-ID
    10739218
  • Published on:
    03/09/2023
  • Last updated on:
    25/04/2024
 
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