Gaoya dianqi电力变压器作为电力系统运行的枢纽设备，其运行状况直接关系到整个系统的运行安全。长期以来，油中溶解气体分析（dissolved gas analysis，DGA）技术由于不易受变压器内部复杂电磁场及外部噪声影响，成为变压器故障诊断的一种有效手段。为了解决现有基于DGA的故障诊断方法的局限性并进一步提升故障诊断的准确率，文中提出了一种基于胶囊神经网络（capsule network，CapsNet）的油浸式电力变压器故障诊断方法。通过结合CapsNet在处理向量数据方面的优势和变压器油中溶解气体的特征 ...
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doaj
Gaoya dianqi变压器是电力系统中的关键设备。为了掌握变压器运行时的损耗和温升情况，文中建立三维多物理场耦合有限元模型，对变压器各部件损耗及温升的分布情况进行仿真。首先，根据变压器铁心各项损耗原理，修正了Bertotti传统损耗分离模型，计算变压器铁心的总损耗，并由此推导出油箱和结构件损耗的计算式。随后，基于绕组几何特征分析绕组损耗各成分计算方法，利用场路耦合法对变压器各部件的损耗分布情况进行仿真计算。最后，运用传热学知识分析油浸式变压器自然换热的具体过程，进行传热和层流两大物理场设计，通过非等温流动多物理场耦合 ...
谢植飚 +5 more
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Gaoya dianqi油浸式铁心电抗器正常运行期间其振动由绕组受力、铁心磁致伸缩效应以及铁心饼间的麦克斯韦力导致。通过构建电抗器磁—固耦合三维模型，对电抗器在3种载荷作用下的轴向及径向振动响应分布进行分析。在此基础上搭建电抗器振动试验平台获取了电抗器箱体振动信号，通过调整铁心轴向压紧力，对箱体振动信号进行采集，通过提取各机械状态下的振动频谱特征可知，随着电抗器铁心轴向压紧力降低，箱体振动信号频谱发生变化，采用3种贝叶斯优化的网络分类器模型，对不同压紧力下的机械状态进行识别，准确率分别达到了94.5%、94.2%与95.0 ...
孟令明 +6 more
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