LIU YUXIAO, ZHANG YONGXIN, ZHONG SHAOLONG, et al. Data Mining and Analysis of Film Capacitor. [J]. Power capacitor & reactive power compensation, 2024, 45(1): 145-156.
DOI:
LIU YUXIAO, ZHANG YONGXIN, ZHONG SHAOLONG, et al. Data Mining and Analysis of Film Capacitor. [J]. Power capacitor & reactive power compensation, 2024, 45(1): 145-156. DOI: 10.14044/j.1674-1757.pcrpc.2024.01.020.
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
40 793 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.
关键词
薄膜电容器数据挖掘性能比较相关性分析
Keywords
thin film capacitordata miningperformance comparisoncorrelation analysis