›› 2012, Vol. 25 ›› Issue (1): 99-.
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NIAN An-Jun, YUAN Jin-Sha, LI Zhong
Online:
Published:
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:
NIAN An-Jun, YUAN Jin-Sha, LI Zhong. Transformer Fault Diagnosis Based on the Artificial Immune Algorithm[J]., 2012, 25(1): 99-.
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https://journal.xidian.edu.cn/dzkj/EN/Y2012/V25/I1/99
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