Cross domain fault diagnosis method based on discriminative geometric distribution alignment
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Published online on January 07, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
Accurate fault diagnosis of rolling bearings under varying operating conditions remains challenging due to distribution shifts in vibration data. While feature-based transfer learning methods mitigate this issue, many suffer from limitations: over-...
Accurate fault diagnosis of rolling bearings under varying operating conditions remains challenging due to distribution shifts in vibration data. While feature-based transfer learning methods mitigate this issue, many suffer from limitations: over-...