Densely connected residual networks for cross-domain bearing fault diagnosis with insufficiently labeled samples
Transactions of the Institute of Measurement and Control
Published online on June 07, 2026
Abstract
Transactions of the Institute of Measurement and Control, Ahead of Print.
In cross-domain bearing fault diagnosis, the lack of labeled samples in the target domain requires models to transfer knowledge from a labeled source domain. However, differences in operating conditions lead to domain drift between domains, and ...
In cross-domain bearing fault diagnosis, the lack of labeled samples in the target domain requires models to transfer knowledge from a labeled source domain. However, differences in operating conditions lead to domain drift between domains, and ...