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首页> 外文会议>International Conference on Electrical and Electronics Engineering >Discrimination of Magnetizing Inrush and Internal Fault Currents Based on Stockwell Transform and ANN Approach for Transformer Protection
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Discrimination of Magnetizing Inrush and Internal Fault Currents Based on Stockwell Transform and ANN Approach for Transformer Protection

机译：基于Stockwell变换和ANN的变压器保护励磁涌流和内部故障电流的判别。

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摘要

In this study, Stockwell transform and artificial neural network were used in determining the inrush current and the internal current fault based on the power transformer protection. The S-transform is a robust transform that incorporates the time and frequency characteristics used in the analysis of non-stationary short term transient signals. It is used for pattern recognition for distinction between internal faults and inrush current. Time-frequency images were obtained by using S-transform, and the obtained images were observed to be different in internal faults and inrush current. The feature extraction is based on statistical methods, standard deviation and average value, the classification process was performed with the multilayer feed forward artificial neural network. The classification performance is calculated at a hundred percent accuracy.
机译：在这项研究中，使用斯托克韦尔变换和人工神经网络基于电力变压器的保护来确定浪涌电流和内部电流故障。 S变换是一种鲁棒的变换，它结合了用于分析非平稳短期瞬态信号的时间和频率特性。它用于模式识别，以区分内部故障和浪涌电流。使用S变换获得时频图像，观察到的图像在内部故障和浪涌电流方面是不同的。特征提取基于统计方法，标准差和平均值，利用多层前馈人工神经网络进行分类。分类性能的计算精度为100％。

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