Author:
Guan Shan,Wu Tong-yu,Yang Hai-qi
Funder
Jilin Provincial Science and Technology Development Plan Project
Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. Liao, W. H. et al. Oil immersed transformer fault diagnosis method based on four-stage preprocessing and GBDT. Power Syst. Technol. 43(6), 2195–2203 (2019).
2. Merve, D., Haluk, G. & Cengiz, M. T. Improvement of power transformer fault diagnosis by using sequential kalman filter sensor fusion. Int. J. Electr. Power Energy Syst. 149, 109038 (2023).
3. IEC. Mineral oil-impregnated electrical equipment in service-guide to the interpretation of dissolved and free gases analysis: IEC 60599—2007[S]. (IEC, 2007).
4. Dai, J. J. et al. Dissolved gas analysis of insulating oil for power transformer fault diagnosis with deep belief network. IEEE Trans. Dielectr. Electr. Insul. 24(5), 2828–2835 (2017).
5. Rogers, R. R. IEEE and IEC codes to interpret incipient faults in transformers, using gas in oil analysis. IEEE Trans. Electr. Insul. EI-13(5), 349–354 (1978).