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A New Method to Evaluate the Lightning Flashover Risk of Transmission Line Based On Data Mining

机译：基于数据挖掘评估传输线雷电闪电风险的新方法

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Lightning flashover risk evaluation is the basis for choosing proper measures to improve the lightning performance of the transmission lines. Thus, the effectiveness of the measures adopted is directly determined by the evaluation accuracy. At present, the risks are mainly evaluated through comparing the calculated lightning flashover rate (LFOR) of every tower. However, there are so many assumptions and simplifications in the process of calculation. This way will often cause some discrepancies between the evaluated results and operating experience. A new evaluation method based on data mining will be proposed to study the characteristics of the lightning failure history. The association relationship between the lightning failure and altitude, height difference, relative height difference, ground flash density, etc. will be considered to build classification rules library to determine the tower lightning flashover risk Comparison of the proposed evaluation method with the traditional methods shows that the results deduced through the proposed method is more agree with the operating experience.
机译：闪电闪络风险评估是选择适当措施来改善传输线的闪电性能的基础。因此，所采用的措施的有效性直接通过评估准确确定。目前，主要通过比较每个塔的计算的雷电闪络速率（LFOR）来评估风险。但是，在计算过程中存在许多假设和简化。这种方式通常会导致评估的结果和操作经验之间的一些差异。将提出一种基于数据挖掘的新评估方法来研究雷电故障历史的特征。雷电故障与高度，高度差异，相对高度差，接地闪光密度等之间的关联关系将被认为是建立分类规则库，以确定塔雷闪送闪动风险比较的传统方法的建议评估方法表明通过拟议方法推断的结果更加符合运营经验。

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