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

Claim 4:
5. The method according to claim 2, wherein step (4) comprises:
a power equipment status label corresponding to the data is set as γ, and the sample with label γ in the real physical space is marked as SRγ={SRγ1; SRγ2; SRγ3; . . . }, which is called a subset of the real physical space, the subset of the real physical space contains a total of NRγ samples, and NRγ represents a data amount of samples with the label γ in the real physical space;
the samples with the label γ in the virtual mirror space are denoted as SVγ={SVγ1; SVγ2; SVγ3; . . . }, which is called a subset of the virtual mirror space, and the subset of the virtual mirror space contains NVγ samples in total, and NVγ represents the number of samples with the label γ in the virtual mirror space;
fault feature extraction is performed on all samples in the subset in the real physical space and the subset in the virtual mirror space, and the original sample data is replaced with the sample data after feature extraction;
a sample data of the first equipment to be diagnosed with the label γ is taken from the subset in the real physical space, and a sample data of the second equipment to be diagnosed with the label γ is taken from the subset in the virtual mirror space, the sample data of the first equipment to be diagnosed and the sample data of the second equipment to be diagnosed are integrated, so as to complete integration of various samples in the subset in the real physical space and various samples in the subset in the virtual mirror space to obtain a training sample set in the virtual and real twin spaces.