Abstract: Recently, deep-learning-based fault diagnosis methods have been widely studied for rolling bearings. However, these neural networks are lack of interpretability for fault diagnosis tasks.

Abstract: The construction of a digital twin model for the full life cycle of rolling bearings is of great significance for analyzing their degradation performance and health management. However, ...