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

Claim 0:
1. A method for fault diagnosis with small samples of a power equipment based on virtual and real twin spaces, comprising:
(1) acquiring test samples containing different locations, types and severity levels of fault of a power equipment to form a real physical space;
(2) establishing a simulation model of an equipment to be diagnosed, setting a corresponding fault type, and superimposing random noise on parameters of the simulation model to acquire a required number of samples by simulation to form a virtual mirror space;
(3) dividing samples in the real physical space into a training set and a verification set;
(4) integrating the training set in the real physical space spatially with the sample set in the virtual mirror space to obtain a training sample set in the virtual and real twin spaces;
(5) using the training sample set in the virtual and real twin spaces as a supplement to the training set in the real physical space, and using the fault type and fault location as diagnosis labels to be input to a deep neural network for training, and using the trained deep neural network to perform identification and positioning of fault on the verification set in the real physical space to verify a diagnosis result.