Multi-Vibration Sensor Fusion of Flexible DC Converter Transformer Based on Adaptive Extended Kalman Filter
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-1072-0_60
Reference12 articles.
1. Key, S., Kang, S.-H., Lee, N.-H., Nam, S.-R.: Bayesian deep neural network to compensate for current transformer saturation. IEEE Access 9, 154731–154739 (2021)
2. Zhang, Y., Yang, S., Hao, Z., Lin, Z., Liu, Z.: A hybrid model-driven and data-driven approach for saturation correction of current transformer. IEEE Power & Energy Society General Meeting (PESGM), pp. 1–5 (2021)
3. Jin, N., et al.: Research on protection tripping scheme of multiple criteria with high reliability for HV transmission lines. In: 2021 IEEE 4th International Electrical and Energy Conference (CIEEC), pp. 1–4 (2021)
4. Li, Z., Xiao, S., Yue, Q., Wang, T.: Electrical capacitance tomography sensor with house structure for assisting recognition of objects. IEEE Sens. J. 22(5), 4534–4544 (2022)
5. Bahari, S., Hasani, T., Sevedi, H.: A new stabilizing method of differential protection against current transformer saturation using current derivatives. In: 2020 14th International Conference on Protection and Automation of Power Systems (IPAPS), pp. 33–38 (2019)
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