A Novel Method for Fault Diagnosis of Bearings with Small and Imbalanced Data Based on Generative Adversarial Networks
The data-driven intelligent fault diagnosis method of rolling bearings has strict requirements regarding the number and balance of fault samples.However, in practical engineering application scenarios, mechanical equipment is usually in a normal state, and small and imbalanced (S & I) fault samples are common, which seriously reduces the accuracy a