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

Claim 10:
11. A system for fault diagnosis with small samples of a power equipment based on virtual and real twin spaces, comprising:
a processor, configured to:
acquire test samples containing different locations, types and severity levels of fault of power equipment to form a real physical space;
establish a simulation model of the equipment to be diagnosed, and a corresponding fault type is configured, and random noise is superimposed on parameters of the simulation model to obtain a required number of samples by simulation to form a virtual mirror space;
divide the samples in the real physical space into a training set and a verification set;
integrate a training set in the real physical space with a sample set in the virtual mirror space to obtain a training sample set in the virtual and real twin spaces; and
utilize the training sample set in the virtual and real twin spaces as a supplement to the training set in the real physical space, and the fault type and the fault location are used as diagnostic labels to be input to a deep neural network for training, and the trained deep neural network is utilized to perform identification and positioning of fault on a verification set in the real physical space to verify a diagnosis result.