Patent ID: 11913854
Assignee: WUHAN UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 9:
10. The method according to claim 7, wherein when an amount of new data to be diagnosed is greater than an amount of preset sample data, and the training from scratch takes longer than a preset time, feature extraction is performed on the new data to be diagnosed, and the new sample data after feature extraction is utilized to perform migration learning on the originally trained network, thereby updating the network; alternatively, the new data to be diagnosed is merged into the original training set in the real physical space to reacquire the training sample set in the virtual and real twin spaces, and the new training sample set in the virtual and real twin spaces is utilized for retraining;
when the amount of new data to be diagnosed is less than the amount of preset sample data, or the training from scratch takes shorter than the preset time, the new data to be diagnosed is merged into the original training set in the real physical space, thereby reacquiring the training sample set in the virtual and real twin spaces, and the new training sample set in the virtual and real twin spaces is utilized for retraining.