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

Auteur(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)
Médium: article de revue
Langue(s): anglais
Publié dans: Structural Health Monitoring, , n. 4, v. 21
Page(s): 147592172110290
DOI: 10.1177/14759217211029016
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1177/14759217211029016.
  • Informations
    sur cette fiche
  • Reference-ID
    10614101
  • Publié(e) le:
    09.07.2021
  • Modifié(e) le:
    20.06.2022
 
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