Fault Detection of AC Filter Breaker’s Closing Resistance based on Probabilistic Neural Network

Author:

Lin Zexuan1,Zhang Yubo1,Hao Zhiguo1,Liu Zhiyuan2,Yu Xiaojun2

Affiliation:

1. Xi’an Jiaotong University,School of Electrical Engineering,Xi’an,China

2. State Grid Ningxia Power Corporation Maintenance Company,Yinchuan,China

Funder

State Grid Corporation of China

Publisher

IEEE

Reference15 articles.

1. Accurate fault classification in series compensated multi-terminal extra high voltage transmission line using Probabilistic Neural Network

2. Research on K-value selection method of K-means clustering algorithm;chunhui,2019

3. Research on the Closing Inrush Current and Overvoltage of 750kV AC Filter Breakers;feiyue;2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE),2020

4. Visualizing data using t-SNE;maaten;Journal of Machine Learning Research,2008

5. Learning a parametric embedding by preserving local structure;maaten;Artificial Intelligence and Statistics,2009

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