Digital twin-driven feature enhancement generative adversarial network for rolling bearings fault diagnosis
Structural Health Monitoring: An International Journal
Published online on October 25, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
The difficulty of collecting fault samples of bearings under stable operation results in imbalanced data and considerably weakened capability of the deep learning-based intelligent fault diagnosis methods. Thus, a novel digital twin (DT)-driven feature ...
The difficulty of collecting fault samples of bearings under stable operation results in imbalanced data and considerably weakened capability of the deep learning-based intelligent fault diagnosis methods. Thus, a novel digital twin (DT)-driven feature ...