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Using lightning location system stroke reports to evaluate the probability that an area of interest was struck by lightning

机译:使用闪电定位系统的笔触报告来评估雷击目标区域的可能性

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Modern lightning location systems (LLSs) have become a useful tool in confirming or negating lightning as a cause of damage in forensic investigations. There are uncertainties in the reported locations of detected lightning that arise from electromagnetic propagation errors and need to be considered when used in forensic investigations. Methods to evaluate regions of confidence for individual stoke reports or to calculate probabilities of individual strokes having attached in a region are available but no consistent method for evaluating the probability that an area or asset of interest was struck/damaged by lightning. This paper discusses a methodology for calculating a probability that considers all detected lightning events relevant to such an investigation, and not just individual strokes. The method is based on previous work done by Huddleston et al. and adds to it using conditional probability theory. A case study, a photovoltaic plant where a solar panel was found damaged subsequent to a storm, is used to demonstrate the concepts of the methodology. It is possible to show that there is a 71% chance that the panel group from which the damaged panel came, was struck by lightning using LDN data alone. This can be compared with the rest of the solar panel plant (where it was noted that other solar panels had been replaced after the same storm) which had a 97% chance of having been struck by lightning. It is also shown how grouping strokes into flashes and using the methodology to calculate which area was struck by each flash, indicates the true strike area of interest better than only using individual strokes. (C) 2016 Elsevier B.V. All rights reserved.
机译:现代雷电定位系统(LLS)已成为确认或否定法医调查中造成损坏的原因的有用工具。由于电磁传播误差而导致所报告雷电的报告位置存在不确定性,在法医调查中需要考虑这些不确定性。可以使用评估单个笔画报告的置信区域或计算已附着在一个区域中的单个笔画的概率的方法,但是尚没有用于评估雷击或损坏目标区域或资产的概率的一致方法。本文讨论了一种计算概率的方法,该方法考虑了与此类调查相关的所有检测到的雷电事件,而不仅仅是单个笔划。该方法基于Huddleston等人先前所做的工作。并使用条件概率理论对其进行补充。以一个案例研究为例,该光伏植物在暴风雨后被发现损坏了一块太阳能电池板,被用来证明该方法的概念。有可能表明,仅使用LDN数据就可能有71%的可能性使被损坏的面板来自的面板组被雷击。可以将其与其余太阳能电池板工厂(注意到在同一场暴风雨之后更换了其他太阳能电池板)进行比较,后者有97%的几率被雷击。还显示了如何将笔划分组为闪光并使用该方法来计算每个闪光击中的区域,这比仅使用单个笔划更好地表明了真正的目标打击区域。 (C)2016 Elsevier B.V.保留所有权利。

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