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Design and Optimization of Power Transformer Diagnostics

Author

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  • Zbigniew Nadolny

    (Institute of Electric Power Engineering, Faculty of Environmental Engineering and Energy, Poznan University of Technology, 60-965 Poznan, Poland)

Abstract

From year to year, humanity’s dependence on electricity supplies is growing, which affects virtually all areas that improve the comfort of people’s lives [...]

Suggested Citation

  • Zbigniew Nadolny, 2023. "Design and Optimization of Power Transformer Diagnostics," Energies, MDPI, vol. 16(18), pages 1-7, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6466-:d:1234814
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    References listed on IDEAS

    as
    1. Konrad Kierczynski & Przemyslaw Rogalski & Vitalii Bondariev & Pawel Okal & Daniel Korenciak, 2022. "Research on the Influence of Moisture Exchange between Oil and Cellulose on the Electrical Parameters of the Insulating Oil in Power Transformers," Energies, MDPI, vol. 15(20), pages 1-15, October.
    2. Arputhasamy Joseph Amalanathan & Maciej Zdanowski & Ramanujam Sarathi, 2022. "Streaming Electrification of Different Insulating Fluids in Power Transformers," Energies, MDPI, vol. 15(21), pages 1-20, October.
    3. Przemyslaw Goscinski & Zbigniew Nadolny & Andrzej Tomczewski & Ryszard Nawrowski & Tomasz Boczar, 2023. "The Influence of Heat Transfer Coefficient α of Insulating Liquids on Power Transformer Cooling Systems," Energies, MDPI, vol. 16(6), pages 1-15, March.
    4. Zbigniew Nadolny, 2022. "Determination of Dielectric Losses in a Power Transformer," Energies, MDPI, vol. 15(3), pages 1-14, January.
    5. Fatih Atalar & Aysel Ersoy & Pawel Rozga, 2022. "Investigation of Effects of Different High Voltage Types on Dielectric Strength of Insulating Liquids," Energies, MDPI, vol. 15(21), pages 1-25, October.
    6. Krzysztof Walczak, 2023. "Localization of HV Insulation Defects Using a System of Associated Capacitive Sensors," Energies, MDPI, vol. 16(5), pages 1-15, February.
    7. Michał Kozioł & Łukasz Nagi & Tomasz Boczar & Zbigniew Nadolny, 2023. "Quantitative Analysis of Surface Partial Discharges through Radio Frequency and Ultraviolet Signal Measurements," Energies, MDPI, vol. 16(9), pages 1-15, April.
    8. Mehran Tahir & Stefan Tenbohlen, 2023. "Transformer Winding Fault Classification and Condition Assessment Based on Random Forest Using FRA," Energies, MDPI, vol. 16(9), pages 1-16, April.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Andrzej Cichoń & Michał Włodarz, 2023. "OLTC Fault detection Based on Acoustic Emission and Supported by Machine Learning," Energies, MDPI, vol. 17(1), pages 1-14, December.

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