【摘 要】
：
局部放电会引起变压器绝缘的老化和破坏,而变压器局部放电特性的研究能够很好反应变压器潜伏性缺陷,对其安全可靠运行具有重要意义,因而设计制作了模拟变压器沿面放电、气隙
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局部放电会引起变压器绝缘的老化和破坏,而变压器局部放电特性的研究能够很好反应变压器潜伏性缺陷,对其安全可靠运行具有重要意义,因而设计制作了模拟变压器沿面放电、气隙放电和电晕放电的3种缺陷模型,采用升压法进行相应的放电试验,通过分析油中溶解气体在局部放电发展过程中的变化规律,寻找出油中产生气体与不同局部放电的对应关系。引入局部放电的最大放电量相位特征谱图Hqmax（φ）和放电次数相位特征谱图Hn（φ）,并提取基于谱图的统计特征参量,构建反向传播（back propagation,BP）神经网络和径向基函数（radical ba-sis function,RBF）神经网络对局部放电的放电类型进行初级识别,在此基础上,应用信息融合方法将初级识别结果融合油中产气特征以综合识别局部放电类型。实验结果表明,同一种溶解气体在不同放电模型中发展变化趋势是不一样的,根据统计特征参量和油中溶解气体变化规律,应用信息融合方法对变压器局部放电模式具有足够的识别能力。
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