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Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions

Author(s): (School of Aerospace Engineering, Shenyang Aerospace University, Shenyang, China)
ORCID (Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 4, v. 21
Page(s): 147592172110292
DOI: 10.1177/14759217211029201
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: 10.1177/14759217211029201.
  • About this
    data sheet
  • Reference-ID
    10614102
  • Published on:
    09/07/2021
  • Last updated on:
    20/06/2022
 
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