Visible Spectrum Characteristics of Partial Discharge Under Different Electric Field Distribution in Transformer Oil
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-0451-8_36
Reference11 articles.
1. Mackenzie, E.A., Crossey, J., dePablo, A., Ferguson, W.: On-line monitoring and diagnostics for power transformers. In: 2010 IEEE International Symposium on Electrical Insulation, Hongxin Ji, Yangchun Cheng, pp. 1–5 (2010). https://doi.org/10.1109/ELINSL.2010.5549734
2. Li, C, Chen, K., Deng, C., Liu, S.: The developing rules of partial discharge in the inter-turn insulation of transformers under constant AC voltage. In: 2012 International Conference on High Voltage Engineering and Application, pp. 219–224 (2012). https://doi.org/10.1109/ICHVE.2012.6357025
3. Zhao, Y., Li, Y., Li, K., Han, D., Qiu, Z., Zhang, G.: Emission spectrum analysis of two typical partial discharge forms under high frequency square wave voltages. IEEE Access 8, 219946–219954 (2020). https://doi.org/10.1109/ACCESS.2020.3034458
4. Saber, A.M., Hameed, M.F.O., El-Azab, J., Amer, R.Y., Ismail, T., Obayya, S.S.A.: Efficient partial discharge detection by plasmonic photonic crystal fiber sensor with bimetallic grating. IEEE Trans. Dielectr. Electr. Insul. 29(2), 478–484 (2022). https://doi.org/10.1109/TDEI.2022.3157897
5. Kozako, M., Murayama, H., Hikita, M., Kashine, K., Nakamura, I., Koide, H.: New partial discharge location method in power transformer based on acoustic wave propagation characteristics using numerical simulation. IEEE International Conference on Condition Monitoring and Diagnosis 2012, 854–857 (2012). https://doi.org/10.1109/CMD.2012.6416284
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