A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection

A Comparison of Deep Transfer Learning Methods on Bearing Fault Detection

In rotating machinery, bearings are widely used as universal components. Bearings are placed in critical positions, therefore, in predictive maintenance, it is crucial to diagnose bearing faults accurately and in a timely manner.