Method for identifying gases in transformer oil based on multispectral analysis
By preprocessing and extracting features from the gas spectra in transformer oil, a feature learning model was constructed, which solved the problems of noise interference and inaccurate identification of overlapping peaks, and realized the accurate identification of gases in transformer oil and the judgment of its working status.
CN120948390BActive Publication Date: 2026-01-27NANJING JICUI GUANGXING TECHNOLOGY CO LTD
Patent Information
- Application Number
- CN202511489905.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-17
- Publication Date
- 2026-01-27
- Estimated Expiration
- 2045-10-17
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Figure CN120948390B_ABST
Abstract
The application discloses a gas spectrum identification method in transformer oil based on multispectral analysis and relates to the technical field of gas spectrum identification in transformer oil, and comprises the following steps: performing spectrum pretreatment on a spectrum diagram to obtain a spectrum calibration diagram; performing feature extraction on the spectrum calibration diagram; learning a judgment basis of a feature peak according to a spectrum feature; extracting gas combinations of a transformer under different working states, and analyzing to obtain characteristic reference data of the transformer under different working states; and performing identification analysis on the spectrum feature of the gas in the transformer oil based on the characteristic reference data, and judging the working state of the transformer; the application is used to solve the problems that the existing gas spectrum identification technology in transformer oil is prone to noise interference in spectrum diagram identification, the identification of overlapping feature peaks is not accurate, and the identification of the gas revealed in the spectrum diagram is not accurate.
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Citation Information
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