摘要
运用主成分分析法,经过矩阵变换、降低维数以提取故障信息的主要特征实现了变压器的故障诊断;同时分析了诊断中该方法的应用方式与过程。实例表明,在有用信息量损失较小的前提下,该方法可以提炼故障信息而不影响分析结果。
In the paper, Besed on the data of fault messages by reducing its dimensions mrougn matrix the principal component analysis, the principal component analysis is used in the fault diagnosis of power transformer. Illustrated by examples , the paper proposes an approach which can concentrate fault information without influencing analysis results under the condition that the loss of useful messages is relatively small. The practical examples show that this method is effective.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2005年第8期9-11,共3页
High Voltage Engineering
关键词
故障诊断
溶解气体分析
主成分分析
BP网络
fault diagnosis
dissolved gas analysis
principal component analysis
back propagation network
