New Statistical Methodology for Capacitor Data Analysis via LCR Meter

Authors

Usama Afzal, School of Microelectronics, Tianjin University, Tianjin 300072, ChinaFollow
Muhammad Aslam, Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi ArabiaFollow

ORCID

Usama Afzal: 0000-0002-4039-0627

Muhammad Aslam: 0000-0003-0644-1950

Article Type

Research Article

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.

Keywords

LCR meter, Resistance, Capacitance, Informative

How to Cite

Afzal, Usama and Aslam, Muhammad (2023) "New Statistical Methodology for Capacitor Data Analysis via LCR Meter," Neutrosophic Systems with Applications: Vol. 8: Iss. 1, Article 3. DOI: https://doi.org/10.61356/j.nswa.2023.19

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.