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作 者:张育杰 冯健[1] 李典阳 王善渊 ZHANG Yujie;FENG Jian;LI Dianyang;WANG Shanyuan(Information Science and Engineering College,Northeastern University,Shenyang 110819,Liaoning Province,China;State Grid Liaoning Electric Power Limited Company,Shenyang 110006,Liaoning Province,China)
机构地区:[1]东北大学信息科学与工程学院,辽宁省沈阳市110819 [2]国网辽宁省电力有限公司,辽宁省沈阳市110006
出 处:《电网技术》2021年第8期3324-3331,共8页Power System Technology
摘 要:在线监测变压器故障诊断对实现变压器状态的实时监控、事前干预具有重要意义,变压器智能化故障诊断是智能电网建设的关键部分。在线监测油中溶解气体(dissolved gas analysis,DGA)衍生出的故障征兆是智能诊断方法的信息源,其质量直接影响故障诊断效果。目前变压器故障征兆种类繁多,常使用智能算法进行优选,而单一的征兆优选方法在优选征兆数量及诊断效果方面各具特点,为兼顾各类优势文章提出一种新的变压器征兆优选方法,并基于IEC TC10数据库及公开文献样本对常见单一征兆优选方法的特点进行了分析,然后提出新的特征融合优选策略。通过现场样本的验证,基于融合方法的特征排序结果相较各算法单独排序更加合理,筛选的征兆子集相较单一方法及传统比值方法具有明显优势。The online transformer fault diagnosis can realize the real-time monitoring of the transformer status and adopt proper prior intervening,a great significance for power grid.This deduces that the intelligent transformer fault diagnosis is a key part of the smart grid construction.The fault features derived from the online monitoring of the oil dissolved gas have become the information source of the intelligent diagnosis method,and the quality of the gas directly affects diagnostic effect.At present,there are many types of transformer fault features,and the intelligent algorithms are often used to select the features.However,each single feature selection method has its own characteristics in both feature numbers and diagnostic effects.To combine these advantages,a new selection method of transformer features is proposed here.Based on the IEC TC10 database and the public literature samples,the characteristics of those single feature selection methods are analyzed and a new feature fusion optimization method is introduced.Through the field sample verification,the feature ranking result based on the fusion method is more reasonable than the individual ranking of each algorithm,and the selected feature subsets used by the new method has obvious advantages than the single method and the traditional gas ratio method.
关 键 词:数据分布 特征优选 融合决策 故障诊断 信息提取
分 类 号:TM721[电气工程—电力系统及自动化]
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