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Power function-based Gini indices: New sparsity measures using power function-based quasi-arithmetic means for bearing condition monitoring

Author(s): ORCID (State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China)
(State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China)
(State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China)
(State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China)
(State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China)
(Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 6, v. 22
Page(s): 147592172211497
DOI: 10.1177/14759217221149745
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: 10.1177/14759217221149745.
  • About this
    data sheet
  • Reference-ID
    10714772
  • Published on:
    21/03/2023
  • Last updated on:
    14/01/2024
 
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