›› 2012, Vol. 25 ›› Issue (1): 99-.

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Transformer Fault Diagnosis Based on the Artificial Immune Algorithm

 NIAN An-Jun, YUAN Jin-Sha, LI Zhong   

  1. (Department of Electronic and Communication Engineering,North China Electric Power University,Baoding 071003,China)
  • Online:2012-01-15 Published:2012-01-10

Abstract:

Aiming at the advantages and disadvantages of various transformer fault diagnosis methods,artificial immune,a new effective fault diagnosis method with its own unique characteristics,can be used to solve special problems and therefore provides a new thought to solve transformer fault diagnosis problems.Through Matlab experiment for standard data sets on the immune network,it is shown that this algorithm has higher classification accuracy.

Key words: artificial immune algorithm;fault diagnosis;power transformer

CLC Number: 

  • TP301.6