摘要
在线诊断电容型设备绝缘状况 ,以分析某段时间内的介损变化趋势较为合理。在简要分析了采用相对比较方法进行趋势分析存在的问题后 ,基于介损数据的频域特性 ,提出了基于小波变换的趋势提取方法 ,能有效地克服数据中周期性因素和不确定因素的影响 。
It is very reasonable to diagnose the insulation condition of capacitive equipments on line through analyzing the trend of tan δ in a period of time. In this paper, the problems of trend extracting method through relative comparison are briefly discussed. Then based on frequency domain analysis of tan δ , wavelet transform is applied to extract the trend, which can filter the influence of periodical factors and uncertain factors. And effectiveness and accuracy of on line diagnosis can be improved.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2003年第3期31-33,共3页
High Voltage Engineering
基金
华北电力大学博士基金资助项目 0 60 10 3
关键词
在线监测
介损
趋势
小波变换
on line monitoring tan δ trend wavelet transform
