Method and system for fault diagnosis of rolling bearing

The present disclosure discloses a method and system for fault diagnosis of a rolling bearing, and relates to the field of rolling bearing fault diagnosis. The method includes: S101, obtaining a current one-dimensional time series signal of a rolling bearing; S102, determining a corresponding frequency domain signal and envelope spectrum signal based on the current one-dimensional time series signal; and, S103, determining, based on the current one-dimensional time series signal and the corresponding frequency domain signal and envelope spectrum signal, a diagnosis result by using a rolling bearing fault diagnosis model based on improved DenseNet and deep feature fusion. The present disclosure can improve precision of fault diagnosis of rolling bearings.