In chapter six, two novel methods of distinguishing magnetizing inrush current have been studied.
第六章研究了两种鉴别变压器励磁涌流的新方法。
After analyzing the phenomenon of magnetizing inrush current and theory limitations of differential protection.
本文分析了变压器的励磁涌流现象以及变压器差动保护还存在的理论缺陷。
The results showed that RBF NN can distinguish magnetizing inrush currents from internal fault currents correctly.
结果表明：RBF神经网络可以正确地区分励磁涌流和短路电流。
In this paper, a new method of identifying magnetizing inrush currents based on features of flux locus is presented.
本文提出了一种基于磁通轨迹特征的变压器励磁涌流识别方法。
So far, the core problem of transformer differential protection is still how to precisely identify the magnetizing inrush current.
迄今，变压器差动保护的核心问题仍然是如何准确识别励磁涌流。
It is found that the two parameters aren't influenced by external fault and magnetizing inrush current, which ensures good selectivity.
理论上分析可以得到，这两个参数不受外部故障和励磁涌流的影响，因此具有很好的选择性。
So distinguishing between magnetizing inrush current and fault current correctly is the key to ensure transformer differential relay to operate credibly.
因此，正确识别励磁涌流是保证变压器差动保护可靠运行的关键。
The simulative test results show that the training speed of NN model designed by the thesis is faster and the identification of magnetizing inrush based on these methods is effective.
经过仿真实验结果表明，用这几种方法所设计的神经网络模型训练速度快，识别效果好。
It is the existent of magnetizing inrush current in transformer that differs transformer differential protection from differential protection of other main equipments and transmission lines.
由于变压器励磁涌流的存在，使得变压器差动保护有别于其他主设备及线路的差动保护。
It is the existent of magnetizing inrush current in transformer that differs transformer differential protection from differential protection of other main equipments and transmission lines.
由于变压器励磁涌流的存在，使得变压器差动保护有别于其他主设备及线路的差动保护。
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