A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples

Integrated intelligent fault diagnosis approach of offshore wind turbine bearing based on information stream fusion and semi-supervised learning

Rolling bearing fault diagnosis using generalized refined composite multiscale sample entropy and optimized support vector machine

Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis