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薄膜电容器数据挖掘与分析

Data Mining and Analysis of Film Capacitor
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摘要 作为电力系统的重要元件之一,薄膜电容器因长使用寿命、高可靠性等优点而受到广泛应用,然而却极少有研究从数据角度挖掘电容器的自身属性。为了填补这一空白,本文选取收集自网络的40793条薄膜电容器数据作为分析基础,首先利用散点图和箱线图从横向角度分析了不同材料制备而成的电容器的容值、最高最低温度、交直流运行电压等差异,然后利用饼图从纵向角度对比了电容器的运行温度和应用场合,最后计算出这些性能指标的皮尔逊系数并进行了相关性分析。结果表明金属化聚丙烯材料作为目前的主流材料在容值和交直流运行电压方面比其他材料均具有显著的优势,而金属化聚苯硫醚在运行温度上占优,电容器除温度和运行电压外的各项参数之间的相关性并不显著。未来可以进一步对数据进行处理和学习,达到性能预测的效果。 As one of the important components of power system,thin film capacitor is widely used due to its such advantages as long service life and high reliability.However,there is very little research on mining the inherent properties of the capacitor from a data perspective.In order to fill this gap,40793 thin film capacitor data are collected from the network as the analysis basis.Firstly,scatter plots and box plots are used to analyze the differences in capacitance,maximum and minimum temperatures,AC/DC operating voltages,and other factors of capacitors prepared from different materials from a horizontal perspective.Then,pie charts are used to compare the operating temperatures and application scenarios of capacitor from a vertical perspective.Finally,the Pearson coefficients of these performance indicators is calculated for correlation analysis.The results show that metallized polypropylene material,as the current mainstream material,has significant advantages over other materials in terms of capacitance and AC/DC operating voltage,while metallized polyphenylene sulfide dominates in operating temperature.The correlation between various parameters of capacitors,except temperature and operating voltage,is not significant.In the future,further data processing and learning can be carried out to achieve performance prediction results.
作者 刘羽霄 张涌新 钟少龙 王昕劼 黄磊 吴致远 王健涛 党智敏 LIU Yuxiao;ZHANG Yongxin;ZHONG Shaolong;WANG Xinjie;HUANG Lei;WU Zhiyuan;WANG Jiantao;DANG Zhimin(State Key Laboratory of Power System Operation and Control,Department of Electrical Engineering,Tsinghua University,Beijing 100084,China;State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,Department of Electrical and Electronic Engineering,North China Electric Power University,Beijing 100096,China)
出处 《电力电容器与无功补偿》 2024年第1期145-156,共12页 Power Capacitor & Reactive Power Compensation
基金 国家重点研发计划(2021YFB2401504)。
关键词 薄膜电容器 数据挖掘 性能比较 相关性分析 thin film capacitor data mining performance comparison correlation analysis
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