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Symmetrical components method and its sequence network connection technique are conventional way on fault analysis of power system.
对称分量法及其序网联接技术是电力系统故障处理的传统方法。
After characters are divided from the raster image, the features of characters are extracted by symmetrical grids and then are inputted into BP neural network for further analysis.
首先对图纸的光栅图像进行字符分离，利用均匀网格方法抽取字符特征，用BP神经网络进行训练和识别。
By using the power element models established on symmetrical component decoupling - compensation theory, a network model with algorithm suitable for harmonic flow calculation is developed.
利用建立在对称分量解耦-补偿理论基础上的电力元件模型，提出了适用于谐波潮流计算的网络模型和算法。
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