Application of ANN Based Pattern Recognition Technique for the Protection of 3-Phase Power Transformer

  • Harish Balaga
  • D. N. Vishwakarma
  • Amrita Sinha
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7076)


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.


Artificial neural network differential protection Pattern Recognition Power transformer 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Harish Balaga
    • 1
  • D. N. Vishwakarma
    • 1
  • Amrita Sinha
    • 2
  1. 1.Dept. of Electrical Engineering, Institute of TechnologyBanaras Hindu UniversityVaranasiIndia
  2. 2.Dept. of Electrical EngineeringNIT PatnaPatnaIndia

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