摘要
应用线性回归方程测量煤的胶质层最大厚度值与粘结指数值之间相关关系。根据实际数据判断两者的强相关性,求得线性方程,用显著性方法检验了线性方程的成立。通过对线性回归方程的标准误差的概率值,证明胶质层最大厚度估算值具有较强的准确性。该方程可应用与煤胶质层测定过程,以及炼焦工艺快速配煤Y值的估算与异常Y值的辨别中。
Linear regression equation is utilized to determine the relationship between the maximal thickness and cohesion index of coal gelatinous layer. Their strong correlation is judged based on actual data to solve linear equation and significance method tests the establishment of linear equation. The probability value of linear regression equation standard error proves that the estimated maximal thickness value of gelatinous layer is quite accurate. This equation can be applied to the determination process of coal plastic layer and Y value estimation and abnormal Y value differentiation at fast coal blending in coking process.
出处
《天津冶金》
CAS
2014年第3期60-62,共3页
Tianjin Metallurgy
关键词
线性回归方程式
煤
胶质层
粘结指数
相关性
检测
linear regression equation
coal
gelatinous layer
cohesion index
correlation
detection
