摘要
为了提高传统油中溶解气体分析(DGA)的诊断能力,克服相对关联度诊断变压器故障的不足,探讨了基于关联分析的故障诊断理论,提出了三级关联算法,建立了一种定性与定量相结合的电力变压器故障诊断的三级关联度方法。以氢气、甲烷、乙烷、乙烯和乙炔这5种油中溶解气体的含量参数作为特征量,验证了新方法对变压器故障的实际诊断效果。结果表明,该方法不仅能找出故障类型,而且能确定故障部位,其有效性超过了传统的相对关联度方法。
To enhance the ability of conventional dissolved gas analysis （DGA） and overcome the disadvantages of the relative correlation grade, a discussion on the principle of the fault diagnosis based on the relative analysis theory is provided and a three-level correlation algorithm is proposed. A novel method for three-level degree of correlation is established for qualitatively and quantitatively describing the fault diagnostic problem with the power transformer. Experimental results are presented to verify the effectiveness of the method proposed using five kinds of dissolved gases in the oil, i.e. acetylene, hydrogen, ethane, methane, and ethylene. The method＇s superiority over other methods is demonstrated by the results.
出处
《电力系统自动化》
EI
CSCD
北大核心
2005年第18期73-75,89,共4页
Automation of Electric Power Systems
基金
国家"十五"重点科技攻关项目(2002BA218C)。
关键词
三级关联算法
变压器
故障诊断
色谱分析
three-level correlation algorithm
transformer
fault diagnosis
chromatographic analysis
