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Research on Information of Electric Field in Lightning Warning Based on Empirical Mode Decomposition

机译:基于经验模态分解的雷电电场信息研究

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摘要

The aim of the paper is to discuss the method for lightning early warning. The methods involve a few ways. Firstly, the signals of electric field before lightning are detected by atmospheric electric apparatus. Then, the signals of electric field before lightning are decomposed with the algorithm of Empirical Mode Decomposition (EMD). Compared with the signals in sunny days, the frequency and energy features of each mode are proposed. The results show that the algorithm of Empirical Mode Decomposition is able to distinguish the activity of electric field before lightning. The method could be used for lightning early warning about 30 minutes.
机译:本文的目的是讨论闪电预警的方法。该方法涉及几种方法。首先,由大气电设备检测雷电之前的电场信号。然后,使用经验模态分解(EMD)算法对闪电前的电场信号进行分解。与晴天信号相比,提出了每种模式的频率和能量特征。结果表明,经验模态分解算法能够区分雷电之前的电场活动。该方法可用于闪电预警约30分钟。

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