Application of artificial neural networks for saturation correction in current and voltage transformers

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...

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Bibliographic Details
Main Authors: E. A. Temnikov, K. I. Nikitin
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:
artificial neural networks
transformer saturation
current transformers
voltage transformers
signal correction
electric power systems
signal processing
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
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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

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