Invention Grant
- Patent Title: Transformer failure identification and location diagnosis method based on multi-stage transfer learning
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Application No.: US17105616Application Date: 2020-11-26
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Publication No.: US11619682B2Publication Date: 2023-04-04
- Inventor: Yigang He , Jiajun Duan , Xiaoxin Wu , Liulu He , Hui Zhang
- Applicant: WUHAN UNIVERSITY
- Applicant Address: CN Hubei
- Assignee: WUHAN UNIVERSITY
- Current Assignee: WUHAN UNIVERSITY
- Current Assignee Address: CN Hubei
- Agency: JCIPRNET
- Priority: CN201911261469.X 20191210
- Main IPC: G01R31/62
- IPC: G01R31/62 ; G06N3/04 ; G06N3/08 ; G01R31/00

Abstract:
A transformer failure identification and location diagnosis method based on a multi-stage transfer learning theory is provided. Simulation is set up first, a winding parameter of a transformer to be tested is calculated, and a winding equivalent circuit is accordingly built. Different failures are configured for the equivalent circuit, and simulation is performed to obtain a large number of sample data sets. A sweep frequency response test is performed on the transformer to be tested, and detection data sets are obtained. Initial network training is performed on simulation data sets by using the transfer learning method, and the detection data sets are further trained accordingly. A failure support matrix obtained through diagnosis is finally fused. The multi-stage transfer learning theory is provided by the disclosure.
Public/Granted literature
- US20210190882A1 TRANSFORMER FAILURE IDENTIFICATION AND LOCATION DIAGNOSIS METHOD BASED ON MULTI-STAGE TRANSFER LEARNING Public/Granted day:2021-06-24
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