Open Access
Issue
E3S Web Conf.
Volume 563, 2024
International Conference on Environmental Science, Technology and Engineering (ICESTE 2024)
Article Number 01016
Number of page(s) 7
Section Energy Science
DOI https://doi.org/10.1051/e3sconf/202456301016
Published online 30 August 2024
  1. S. Das, A. Paramane, S. Chatterjee, U.M. Rao, Accurate identification of transformer faults from dissolved gas data using recursive feature elimination method IEEE Trans. Dielectr. Electr. Insul 30(1), 466–473 (2023) [CrossRef] [Google Scholar]
  2. M. Digalovski, K. Najdenkoski, G. Rafaijlovski Impact of current high order harmonic to core losses of three-phase distribution transformer. Eurocon 1531–1535 (2013) [Google Scholar]
  3. H. Zynal, A. Yass, The effect of harmonic distortion on three phase transformer losses. Electrical Engineering 3(5), (2012) [Google Scholar]
  4. IEEE Std C57.110™-2018 IEEE recommended practice for establishing liquid-immersed and dry-type powerand distribution transformer capability when supplying nonsinusoidal load currents. 1–68. [Google Scholar]
  5. Y. Wu, X. Sun, Y. Zhang, X. Zhong, L. Cheng, A. power transformer fault diagnosis method-based hybrid improved seagull optimization algorithm and support vector machine, IEEE Access 10, 17268–17286 (2022) [CrossRef] [Google Scholar]
  6. N. Haque, A. Jamshed, K. Chatterjee, S. Chatterjee, Accurate sensing of power transformer faults from dissolved gas data using random forest classifier aided by data clustering method. IEEE Sens. J. 22(6), 5902–5910 (2022) [CrossRef] [Google Scholar]
  7. M. Demirci, H. Gözde, M.C. Taplamacioglu, Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion. Int. J. Electr. Power Energy Syst. 149, (2023) [Google Scholar]
  8. S. Kim, J. Park, W. Kim, S. Jo, B.D. Youn, Learning from even a weak teacher: bridging rule-based duval method and a deep neural network for power transformer fault diagnosis. Int. J. Electr. Power Energy Syst. 136, (2022) [Google Scholar]
  9. X. Zhang, S. Zuo, Application of improved PNN in transformer fault diagnosis. Processes 11(2), 474 (2023) [CrossRef] [Google Scholar]
  10. Ngo Xuan Cuong, Le Anh Tuan, Y. Nhu, Effect of Voltage Unbalances on the Performance of a Three-phase Transformer, IOP Conf. Series: Earth and Environmental Science 1111, 01205 (2022) [Google Scholar]
  11. M. Ghorvei, M. Kavianpour, M.T.H Beheshti, Spatial graph convolutional neural network via structured subdomain adaptation and domain adversarial learning for bearing fault diagnosis Neurocomputing 517, 44–61 (2023) [Google Scholar]
  12. S. Santoso, M.F. McGranaghan, R.C. Dugan, H.W. Beaty Electrical power systems quality. McGraw-Hill Education (2012) [Google Scholar]
  13. M. Edan, Effect of Unbalance Voltage on the Operation and Performance of a Three Phase Distribution Transformers. Engineering Sciences 1111, 2–5 (2013) [Google Scholar]
  14. G. Zheng, Y. Xu, An intelligent three-phase voltage unbalance measuring instrument based on the ATT7022C. IEEE International Conference on Automation and Logistics (IEEE) 674, (2010) [Google Scholar]

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