0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

A robust multi-scale learning network with quasi-hyperbolic momentum-based Adam optimizer for bearing intelligent fault diagnosis under sample imbalance scenarios and strong noise environment

Author(s): ORCID (School of Mechatronics Engineering, Nanjing Forestry University, Nanjing, China)
ORCID (School of Mechatronics Engineering, Nanjing Forestry University, Nanjing, China)
(School of Mechatronics Engineering, Nanjing Forestry University, Nanjing, China)
(School of Mechatronics Engineering, Nanjing Forestry University, Nanjing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 23
Page(s): 1664-1686
DOI: 10.1177/14759217231192363
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: 10.1177/14759217231192363.
  • About this
    data sheet
  • Reference-ID
    10740960
  • Published on:
    12/09/2023
  • Last updated on:
    25/04/2024
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine