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Can fractal techniques be used for impulse fault pattern discrimination in distribution transformers?

机译:分形技术可以用于配电变压器的脉冲故障模式判别吗?

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Distribution transformers connected to overhead lines are often prone to lightning strikes and resulting winding damage. For assessment of their insulation strength against such impulse stresses they are usually subjected to lightning impulse tests after assembly. In the case of a fault inside the winding, the shape of the winding current changes as compared to that of a healthy winding. The pattern of the fault current depends on the type of fault and its location along the length of the winding. This paper investigates the potential application of fractal techniques for analysis of such fault current patterns. Fractal features such as fractal dimension and lacunarity commonly used for image and pattern recognition have been employed for classification of distribution transformer impulse faults. Simulation results obtained for a range of distribution transformer digital models are presented to illustrate the ability of this approach to classify insulation failures during impulse testing. The proposed tool has been applied for impulse fault analysis of a scaled-down analog model of a 3 MVA transformer. The results promise potential application of this novel technique for impulse fault pattern recognition in distribution transformers.
机译:连接至架空线的配电变压器通常容易遭受雷击并导致绕组损坏。为了评估其抵抗这种冲击应力的绝缘强度,通常在组装后对其进行雷电冲击测试。在绕组内部发生故障的情况下,与正常绕组相比,绕组电流的形状会发生变化。故障电流的模式取决于故障的类型及其在绕组长度上的位置。本文研究了分形技术在此类故障电流模式分析中的潜在应用。分形特征,例如通常用于图像和模式识别的分形维数和稀疏度已被用于配电变压器脉冲故障的分类。给出了一系列配电变压器数字模型获得的仿真结果,以说明该方法在脉冲测试期间对绝缘故障进行分类的能力。所提出的工具已用于3 MVA变压器按比例缩小的模拟模型的脉冲故障分析。结果有望将该新技术潜在地应用于配电变压器的脉冲故障模式识别。

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