An Intelligent Scheme for Classification of Shunt Faults Including Atypical Faults in Double-Circuit Transmission Line

Author(s):  
Valabhoju Ashok ◽  
Anamika Yadav ◽  
Mohammad Pazoki ◽  
Almoataz Y. Abdelaziz
Keyword(s):  
2020 ◽  
Vol 8 (1) ◽  
pp. 14
Author(s):  
S. SUREBAN MANJULA ◽  
S. MAHASHETTY SANGEETA ◽  
◽  

Author(s):  
Y Srinivasa Rao ◽  
G. Ravi Kumar ◽  
G. Kesava Rao

An appropriate fault detection and classification of power system transmission line using discrete wavelet transform and artificial neural networks is performed in this paper. The analysis is carried out by applying discrete wavelet transform for obtained fault phase currents. The work represented in this paper are mainly concentrated on classification of fault and this classification is done based on the obtained energy values after applying discrete wavelet transform by taking this values as an input for the neural network. The proposed system and analysis is carried out in Matlab Simulink.


2004 ◽  
Vol 19 (4) ◽  
pp. 1612-1618 ◽  
Author(s):  
A.K. Pradhan ◽  
A. Routray ◽  
S. Pati ◽  
D.K. Pradhan

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