Deep energy learning integrating dual-weight adaptive network and adversarial training: An open-set fault diagnosis model for rolling bearings under cross-device conditions
Published online on February 21, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Open-set fault diagnosis of rolling bearings is pivotal for the simultaneous detection of known and unknown anomalies in the intelligent operation and maintenance of industrial equipment. Conventional deep-learning approaches exhibit overfitting and ...
Open-set fault diagnosis of rolling bearings is pivotal for the simultaneous detection of known and unknown anomalies in the intelligent operation and maintenance of industrial equipment. Conventional deep-learning approaches exhibit overfitting and ...