The Analysis of Fault Diagnosis for Tr ansformer Based on Genetic Algorithm,Wavelet Transform and Neural Network

摘要：

Genetic algorithms-based global optimization,Wavelet analysis with data compression and feature extraction of features,Neural networks has the nonlinear mapping ability and learning the advantages of reasoning,Combining the characteristics of the three,a method of a fault diagnosis for transformer based on Genetic Algorithm,Wavelet Transform and Neural Network is presented in this article.The practical application based on fault diagnosis for transformer verifies that the model has comparatively fast,robust and accurate diagnosing abilities.

关键词： wavelet transform artificial neural network Genetic Algorithm fault diagnosis

作者: Jun Wang Guoyou Li Ming-long Zhou

作者单位: AnHui Polytechnic University,Wuhu241000,Anhui Province,China Anhui Hengming Mould Technology Co.Ltd Wuhu241000,Anhui Province,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 439-442

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）