scholarly journals Chaos Synchronization Error Technique-Based Defect Pattern Recognition for GIS through Partial Discharge Signal Analysis

Entropy ◽  
2014 ◽  
Vol 16 (8) ◽  
pp. 4566-4582 ◽  
Author(s):  
Hung-Cheng Chen ◽  
Her-Terng Yau ◽  
Po-Yan Chen
Keyword(s):  
Pattern Recognition ◽  
Signal Analysis ◽  
Chaos Synchronization ◽  
Partial Discharge ◽  
Synchronization Error ◽  
Defect Pattern

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 ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
Partial Discharge ◽  
Discharge Characteristics ◽  
Defect Pattern

Defects Identification of Partial Discharge Map in GIS

2013 ◽  
Vol 448-453 ◽  
pp. 1947-1950
Author(s):  
Yi Long Zhang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Xin Wang ◽  
Gang Yao ◽  
...  
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Random Function ◽  
Rbf Neural Network ◽  
Partial Discharge ◽  
Rbf Network ◽  
Novel Method ◽  
Training Error ◽  
Defect Pattern ◽  
Defects Identification

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.

scholarly journals Pattern recognition of unknown partial discharge based on improved SVDD

2018 ◽  
Vol 12 (7) ◽  
pp. 907-916 ◽  
Author(s):  
Jiacheng Gao ◽  
Yongli Zhu ◽  
Yafei Jia
Keyword(s):  
Pattern Recognition ◽  
Partial Discharge
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