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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Gaoya dianqi, 2004 在线监测变压器油中溶解气体可有效地分析变压器绝缘状况,在线监测用气体传感器是实施该技术的关键。针对半导体气体传感器的交叉敏感特性,提出了将气体传感器阵列与人工神经网络技术相结合,利用6个半导体气体传感器组成传感器阵列,采用BP神经网络进行模式识别。大量的试验证明,所提出的智能传感器可有效地提高H2,CO,CH4,C2H4,C2H2,C2H66种气体的分辨率和检测灵敏度。
佟继春, 陈伟根, 陈荣柱
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