MFTrans-DANN: unsupervised deep transfer learning model for noise-robust cross-domain diagnosis of rolling bearings
Structural Health Monitoring: An International Journal
Published online on April 24, 2026
Abstract
Structural Health Monitoring, Ahead of Print.
Although deep learning has shown great promise in bearing fault diagnosis, standard models struggle to maintain accuracy in cross-domain applications subject to industrial noise and variable loads. To address this challenge, this paper proposes a ...
Although deep learning has shown great promise in bearing fault diagnosis, standard models struggle to maintain accuracy in cross-domain applications subject to industrial noise and variable loads. To address this challenge, this paper proposes a ...