Intelligent on-line diagnosis and positioning method for winding deformation of power transformers
US11402438B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 28, 2019 |
| Grant date | Aug 2, 2022 |
| Priority date | — |
| Expiry date | Dec 11, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH01F30/12
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Disclosed is an intelligent on-line diagnosis method for winding deformation of power transformer. When a transformer is subjected to short-circuit shock or transportation collision, transformer windings may undergo local twisting, swelling or the like under the action of an electric power or mechanical force, which is called winding deformation and will cause a huge hidden danger to the safe operation of the power network. Commonly used diagnosis methods for winding deformation are all off-line diagnosis methods, which have the disadvantages that transformers need to be shut down and highly skilled operators are required. The present invention provide an intelligent on-line diagnosis method for winding deformation on the basis of combination of information entropy and support vector machine. By carrying out feature extraction of current and voltage signals based on permutation entropy and wavelet entropy, integrating the variation of the monitoring indicators of the power transformers in complexity, time-frequency domain and the like and automatically learning the diagnostic logic from fault features through the machine learning algorithm, intelligent diagnosis of winding deformat…
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.