Application of artificial neural networks for saturation correction in current and voltage transformers
The article investigates the application of artificial neural networks for saturation correction in current and voltage transformers. Under saturation conditions, these transformers can distort signals, leading to the incorrect operation of measuring and protection devices. The use of artificial n...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education
2025-06-01
|
| Series: | Омский научный вестник |
| Subjects: | |
| Online Access: | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2025/%E2%84%962(194)/89-95%20%D0%A2%D0%B5%D0%BC%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%20%D0%95.%20%D0%90.,%20%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B8%D0%BD%20%D0%9A.%20%D0%98..pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839646558831771648 |
|---|---|
| author | E. A. Temnikov K. I. Nikitin |
| author_facet | E. A. Temnikov K. I. Nikitin |
| author_sort | E. A. Temnikov |
| collection | DOAJ |
| description | The article investigates the application of artificial neural networks for saturation correction in current
and voltage transformers. Under saturation conditions, these transformers can distort signals, leading to the
incorrect operation of measuring and protection devices. The use of artificial neural networks allows increasing
accuracy in signal processing, thereby improving the reliability and safety of electric power systems. The
paper describes methods for training neural networks using historical data, modeling transformer operation
under various conditions, and developing algorithms for correcting distortions caused by saturation. |
| format | Article |
| id | doaj-art-1a89f5febea748ad9f5b97fc9b0a8745 |
| institution | Matheson Library |
| issn | 1813-8225 2541-7541 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Omsk State Technical University, Federal State Autonoumos Educational Institution of Higher Education |
| record_format | Article |
| series | Омский научный вестник |
| spelling | doaj-art-1a89f5febea748ad9f5b97fc9b0a87452025-06-30T10:40:06ZengOmsk State Technical University, Federal State Autonoumos Educational Institution of Higher EducationОмский научный вестник1813-82252541-75412025-06-012 (194)899510.25206/1813-8225-2025-194-89-95Application of artificial neural networks for saturation correction in current and voltage transformersE. A. Temnikov0https://orcid.org/0000-0001-9901-0687K. I. Nikitin1Omsk State Technical UniversityOmsk State Technical UniversityThe article investigates the application of artificial neural networks for saturation correction in current and voltage transformers. Under saturation conditions, these transformers can distort signals, leading to the incorrect operation of measuring and protection devices. The use of artificial neural networks allows increasing accuracy in signal processing, thereby improving the reliability and safety of electric power systems. The paper describes methods for training neural networks using historical data, modeling transformer operation under various conditions, and developing algorithms for correcting distortions caused by saturation.https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2025/%E2%84%962(194)/89-95%20%D0%A2%D0%B5%D0%BC%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%20%D0%95.%20%D0%90.,%20%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B8%D0%BD%20%D0%9A.%20%D0%98..pdfartificial neural networkstransformer saturationcurrent transformersvoltage transformerssignal correctionelectric power systemssignal processing |
| spellingShingle | E. A. Temnikov K. I. Nikitin Application of artificial neural networks for saturation correction in current and voltage transformers Омский научный вестник artificial neural networks transformer saturation current transformers voltage transformers signal correction electric power systems signal processing |
| title | Application of artificial neural networks for saturation correction in current and voltage transformers |
| title_full | Application of artificial neural networks for saturation correction in current and voltage transformers |
| title_fullStr | Application of artificial neural networks for saturation correction in current and voltage transformers |
| title_full_unstemmed | Application of artificial neural networks for saturation correction in current and voltage transformers |
| title_short | Application of artificial neural networks for saturation correction in current and voltage transformers |
| title_sort | application of artificial neural networks for saturation correction in current and voltage transformers |
| topic | artificial neural networks transformer saturation current transformers voltage transformers signal correction electric power systems signal processing |
| url | https://www.omgtu.ru/general_information/media_omgtu/journal_of_omsk_research_journal/files/arhiv/2025/%E2%84%962(194)/89-95%20%D0%A2%D0%B5%D0%BC%D0%BD%D0%B8%D0%BA%D0%BE%D0%B2%20%D0%95.%20%D0%90.,%20%D0%9D%D0%B8%D0%BA%D0%B8%D1%82%D0%B8%D0%BD%20%D0%9A.%20%D0%98..pdf |
| work_keys_str_mv | AT eatemnikov applicationofartificialneuralnetworksforsaturationcorrectionincurrentandvoltagetransformers AT kinikitin applicationofartificialneuralnetworksforsaturationcorrectionincurrentandvoltagetransformers |