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Accurate Methods for Solving Electromagnetic Interference Problems between Power Lines and Underground Metallic Pipelines

机译:求解电源线和地下金属管道电磁干扰问题的准确方法

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The accurate calculation of the current densities induced in soil by HV transmission lines in normal and fault conditions is one of the most important steps for the study of the electromagnetic interference between transmission lines and underground metallic structures (i.e. metallic gas pipelines). New analytical formulas for the induced current densities in the two-layer soil case are derived. In the second part of the paper, the author's contribution relates to the exposure and implementation in an original approach of a robust neural network for the study of electromagnetic interferences between high voltage power lines and metallic underground pipelines, for complex constructive geometries. The results obtained with neural networks are compared to the finite element solutions considered as standard ones. Our contribution relates to the implementation of the neural network AI technique, to the study of electromagnetic interference problems and the testing of the neural networks used in the studied case.
机译:在正常和故障条件下通过HV输电线路通过HV传输线引起的电流密度的准确计算是研究传输线和地下金属结构之间的电磁干扰的最重要步骤之一(即金属气体管道)。推导出两层土壳中诱导电流密度的新分析公式。在本文的第二部分中,作者的贡献涉及一种稳健的神经网络的曝光和实施,用于研究高压电力线和金属地下管道之间的电磁干扰,用于复杂的建设性几何形状。用神经网络获得的结果与被认为是标准的有限元解决方案进行比较。我们的贡献涉及神经网络AI技术的实现,对电磁干扰问题的研究和研究中使用的神经网络的测试。

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