煤炭工程 ›› 2018, Vol. 50 ›› Issue (7): 142-146.doi: 10.11799/ce201807035
• 研究探讨 • 上一篇 下一篇
李祥，杜政烨，刘翠茹，茌方，袁翠翠
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摘要： 以163组煤质分析数据为研究对象，利用主成分分析法获得煤的工业分析和元素分析数据的前三个主成分。采用线性回归法研究这三个与煤炭热值的关系，进而建立煤炭热值预测模型，并检验其适应性。结果表明基于主成分-线性回归分析提出的煤炭热值预测模型具有较好的适应性。
关键词: 煤炭热值, 主成分, 回归分析, 预测模型
Abstract: Data of 163 groups of coal quality was used in this study and principal component analysis was carried out to acquire the first three principal components of ultimate and proximate analysis of coal. Relationship of coal calorific value and the three was researched by regression analysis. Prediction models of coal calorific value were built and adaptability of the models was tested. The results showed that prediction models of coal calorific value acquired by the principal component - linear regression analysis have good adaptability.
中图分类号:
TQ533
李祥，杜政烨，刘翠茹，茌方，袁翠翠. 基于主成分-线性回归分析的煤炭热值预测模型研究[J]. 煤炭工程, 2018, 50(7): 142-146.
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