2024
DOI: 10.1088/1361-6501/ad76d0
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Federated transfer learning-based distributed fault diagnosis method for rolling bearings

Guang Yang,
Juan Su,
Songhuai Du
et al.

Abstract: Current methods for bearing fault diagnosis often fall short in addressing data privacy concerns and typically rely on one-to-one transfer strategies, which are inadequate for achieving knowledge transfer in distributed environments. To address this issue, a distributed fault diagnosis method for rolling bearings based on federated transfer learning is proposed. This method ensures data privacy while integrating fault knowledge from multiple domains, thereby enabling more efficient knowledge transfer. Specific… Show more

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