Paper Info
Title
Application of ANN based pattern recognition technique for the protection of 3-phase power transformer
Abstract
This paper presents an application of ANN based Pattern Recognition Technique for the differential protection of a two winding three-phase power transformer. It proposes a variation in feed forward back propagation neural network (FFBPNN) model, which makes the discrimination among normal, magnetizing inrush, over-excitation and internal fault currents efficiently. Fault conditions of the transformer are simulated using MATLAB/SIMULINK in order to obtain current signals. The training process for the neural network and fault diagnosis decision are implemented using toolboxes on MATLAB.
Year
DOI
Venue
2011
10.1007/978-3-642-27172-4_44
SEMCCO (1)
Keywords
Field
DocType
3-phase power transformer,fault diagnosis decision,pattern recognition technique,three-phase power transformer,differential protection,neural network,current signal,propagation neural network,internal fault current,fault condition,magnetizing inrush,pattern recognition,power transformer,artificial neural network
Differential protection,MATLAB,Pattern recognition,Inrush current,Computer science,Transformer,Artificial intelligence,Artificial neural network,Machine learning,Feed forward back propagation neural network
Conference
Volume
ISSN
Citations 
7076
0302-9743
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Harish Balaga100.34
D. N. Vishwakarma201.01
Amrita Sinha300.34