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Data-driven dictionary design–based sparse classification method for intelligent fault diagnosis of planet bearings

Author(s): ORCID (State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, China)
(State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, China)
(State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, China)
(Department of Mechanical Engineering, University of Alberta, Edmonton, Alberta, Canada)
(School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China)
(State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 21
Page(s): 147592172110290
DOI: 10.1177/14759217211029016
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: 10.1177/14759217211029016.
  • About this
    data sheet
  • Reference-ID
    10614101
  • Published on:
    09/07/2021
  • Last updated on:
    20/06/2022
 
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