摘要
针对一维反应炉在进行实验前的煤粉标定实验,利用离散变量数字特征对数据进行整理,并运用回归分析方法对得到的数据进行拟合,得到了合理的方程。结果表明,该方程能较好地反映煤粉标定中给定精确值与变量之间的变化趋势,为相关实验提供了较为准确的数学依据。
A rational equation used for the coal powder calibration experiment before the one dimensional flame furnace experiment was derived by organizing data with discrete variables digital characteristics method and fitting data with regression analysis method. The equation could reveal the trend between accurate set value and variables value, then offer much more accurate mathematical basis for the experiment.
出处
《沈阳工程学院学报（自然科学版）》
2015年第2期112-115,共4页
Journal of Shenyang Institute of Engineering:Natural Science
基金
国家自然科学基金项目(61371200)
关键词
煤粉标定
一维炉
数理统计
最小二乘法
回归分析
Coal powder calibration experiment
One dimensional flame furnace
Mathematical statistics
Least square method
Regression analysis
