煤田地质与勘探Issue(4)：8-10,15,4.DOI:10.3969/j.issn.1001-1986.2014.04.002
不同变质程度煤的发热量与水分和灰分的多元线性回归分析
Multivariable linear regression of the correlation between calorific value and moisture and ash content of coal
张贝贝 1薛彦东 1黄成玉1
作者信息
- 1. 中国矿业大学煤炭资源与安全开采国家重点实验室，地球科学与测绘工程学院，北京 100083
- 折叠
摘要
Abstract
Calorific value is a basic indicator in coal quality evaluation and thermal calculation. The paper collects data of moisture, ash yield, volatile component and calorific value of coal in different regions and builds multivariable linear regression model between calorific value and moisture content and ash yield. The result shows that with the increasing of volatile component, the influence of moisture on calorific value increased while the influence of ash yield decreased. In order to inspect the accuracy of the model, the calorific value of coal in other regions is calculated and compared with the measured value. The model has high feasibility for the prediction of calorific value in different regions.关键词
发热量/多元线性回归/预测Key words
calorific value/multivariable linear regression/prediction分类
天文与地球科学引用本文复制引用
张贝贝,薛彦东,黄成玉..不同变质程度煤的发热量与水分和灰分的多元线性回归分析[J].煤田地质与勘探,2014,(4):8-10,15,4.
