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双极性窄脉冲自动识别及统计分析
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  • 英文篇名:Automatic Identification and Statistical Analysis of Narrow Bipolar Events
  • 作者:王拓 ; 孙昊 ; 王彦辉 ; 张其林
  • 英文作者:WANG Tuo;SUN Hao;WANG Yanhui;ZHANG Qilin;Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters,Nanjing University of Information Science & Technology;The School of Atmospheric Physics,Nanjing University of Information Science and Technology;
  • 关键词:双极性窄脉冲事件 ; 闪电 ; 放电参数 ; 波形识别
  • 英文关键词:narrow bipolar events;;lightning;;discharge parameter;;waveform identification
  • 中文刊名:DCPQ
  • 英文刊名:Insulators and Surge Arresters
  • 机构:南京信息工程大学气象灾害预报预警与评估协同创新中心;南京信息工程大学大气物理学院;
  • 出版日期:2019-04-25
  • 出版单位:电瓷避雷器
  • 年:2019
  • 期:No.288
  • 基金:国家重点研发计划(课题号:2017YFC1501502);; 国家自然科学基金(批准号:41675006; 41005022);; 南京信息工程大学人才启动项目(2017r013#)资助
  • 语种:中文;
  • 页:DCPQ201902004
  • 页数:8
  • CN:02
  • ISSN:61-1129/TM
  • 分类号:30-37
摘要
介绍了双极性窄脉冲(narrow bipolar events,简写NBEs)自动识别的基本方法,通过对双极性窄脉冲的放电特征的统计分析,设计了自动识别的试验方案。对VHF辐射波形和闪电快电场波形中的NBE进行了自动识别方法实验验证。首先对闪电数据进行人工识别,识别出96例NBEs,对其中19例NBEs的11个放电参数进行参量统计和研究分析,根据统计结果选取高频幅度比等9个参数作为NBEs识别判据,对混杂在常规闪电放电中的NBEs进行程序自动识别。成功识别出双极性窄脉冲67例,未识别出10例(皆因据测站较远),误识别1例,识别率87. 01%,误识别率1. 49%。在此基础上,对识别出的NBE事件进行了统计分析,NBEs发生时,在前1 ms内无其他闪电过程,说明前向孤立性良好。通过对96个NBE事件进行参量统计发现,双极性窄脉冲上升沿算术平均值为1. 75μs(0. 3~4. 3μs);下降沿为2. 80μs(1. 2~6. 15μs);半峰宽度为2. 35μs(0. 35~5. 05μs);全峰宽度为4. 55μs(1. 5~7. 7 s);脉冲持续时间为8. 89μs(2. 6~21. 1μs)。这些参数与其他研究者统计数据有较好的一致性。
        The basic method of automatic identification of narrow bipolar events(NBEs) is introduced.Through the statistical analysis of the discharge characteristics of narrow bipolar events,an automatic identification test scheme was designed. The VHF radiation waveform and the NBEs in the lightning fast electric field waveform were verified by the experimental method. Firstly,the lightning data was manually identified and 96 NBEs were identified. The 11 discharge parameters of 19 NBEs were statistically analyzed and research analysis. According to the statistical results,9 parameters such as high-frequency amplitude ratio were selected as the NBEs identification criteria. NBEs mixed in conventional lightning discharges were automatically identified by the program. 67 cases of narrow bipolar events were successfully identified,10 cases were not identified(all of them were far from the measurement station). 1 case was misrecognized,the recognition rate was 87. 01%,and the false recognition rate was 1. 49%. On this basis,a statistical analysis was performed on the identified NBE events. When NBEs occurred,there was no other lightning process within the first 1 ms,indicating that the forward isolation was good. Statistical analysis of 96 NBE events found that the arithmetic average of the rising edge of narrow bipolar events is1. 75 μs(0. 3 ~ 4. 3 μs); the falling edge is 2. 80 μs(1. 2 ~ 6. 15 μs); the half-peak width is2. 35 μs.(0. 35 ~ 5. 05 μs); full-peak width is 4. 55 μs(1. 5 ~ 7. 7 μs); pulse duration is 8. 89 μs(2. 6 ~ 21. 1 μs). These parameters are in good agreement with other researchers' statistics.
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