New Statistical Methodology for Capacitor Data Analysis via LCR Meter

U. Afzal, Muhammad Shahzad Aslam
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Abstract

This research work introduces a novel methodology to establish the relationship between capacitance and resistance when dealing with imprecise data obtained from LCR meters. The proposed relationship is based on the principles of neutrosophic statistics, enabling the utilization of interval data of resistance or capacitance without losing the indeterminacy of the intervals. By employing this relationship, we can accurately determine capacitance values from interval data of resistance, thereby generating more flexible and informative graphs. Additionally, we have applied the neutrosophic analysis method to the interval data of resistance to further enhance our findings. The comparative analysis demonstrates the superiority of the proposed approach and neutrosophic analysis over classical or pre-existing methods, highlighting their enhanced flexibility and information content.
LCR电表电容数据分析的新统计方法
本研究工作介绍了一种新的方法,在处理从LCR仪表获得的不精确数据时,建立电容和电阻之间的关系。所提出的关系是基于中性统计原理,使电阻或电容的区间数据的利用,而不会失去区间的不确定性。利用这一关系,我们可以从电阻的区间数据中准确地确定电容值,从而生成更灵活、信息更丰富的图形。此外,我们还将中性粒细胞分析方法应用于抗性区间数据,以进一步加强我们的发现。比较分析表明,所提出的方法和中性粒细胞分析优于经典或已有的方法,突出了它们增强的灵活性和信息含量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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