scholarly journals Defect Pattern Recognition Based on Partial Discharge Characteristics of Oil-Pressboard Insulation for UHVDC Converter Transformer

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 592 ◽  
Author(s):  
Wen Si ◽  
Simeng Li ◽  
Huaishuo Xiao ◽  
Qingquan Li ◽  
Yalin Shi ◽  
...  
2013 ◽  
Vol 448-453 ◽  
pp. 1947-1950
Author(s):  
Yi Long Zhang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Xin Wang ◽  
Gang Yao ◽  
...  

With GIS being widely used, partial discharge detecting and defect pattern recognition become more and more meaningful and important. To realize defects identification of partial discharge map in GIS, a novel method based on Radical Basis Function (RBF) neural network is proposed. Firstly, a model is constructed to simulate the discharge pattern map by the use of random function randint. Secondly, based on the model above, a lot of data which meet the condition can be collected to provide for pattern recognition. Then, a RBF network is introduced to identify the pattern recognition. It can be trained by using the data above. Finally, through changing training error, high correct rate can be got. These indicate that the method is effective.


2017 ◽  
Vol 137 (9) ◽  
pp. 536-541
Author(s):  
Tomohiro Kawashima ◽  
Tomohiro Yamada ◽  
Yoshinobu Murakami ◽  
Masayuki Nagao ◽  
Sou Ozaki ◽  
...  

2012 ◽  
Vol 132 (4) ◽  
pp. 284-290 ◽  
Author(s):  
Masakazu Higashiyama ◽  
Hajime Takada ◽  
Masayuki Hayashi ◽  
Masahiro Kozako ◽  
Masayuki Hikita ◽  
...  

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