| 主成分分析法在热轧吨钢电耗回归预测模型中的应用 |
| |
| 引用本文： | 曹阳,杨洁,张旭. 主成分分析法在热轧吨钢电耗回归预测模型中的应用[J]. 能源技术(上海), 2010, 0(1) |
| |
| 作者姓名： | 曹阳 杨洁 张旭 |
| |
| 作者单位： | 同济大学暖通空调及燃气研究所; |
| |
| 基金项目： | 冶金能源系统基于产品能耗的最优化分析技术及全自动煤气回收技术(07da12007) |
| |
| 摘 要： | 根据热轧钢板生产的统计数据,初步确定影响热轧吨钢电耗主要因素是生产量、延伸系数、轧后厚度、轧后宽度、初始长度和轧制速度。采用主成分分析法对这些因素的统计数据进行处理和分析,得到了前3个主成分的表达式。并在这个基础上建立了热轧吨钢能耗的多元线性回归模型,通过与未经处理的原始数据建立的模型进行对比,证明主成分分析法分析后的模型具有良好的预测效果。
|
| 关 键 词： | 热轧吨钢电耗 主成分分析法 多元线性回归 |
Application of Principal Components Analysis in Power Consumption Per Ton of Hot Rolled Steel Regression Forecasting Model |
| |
| CAO Yang,YANG Jie,ZHANG Xu. Application of Principal Components Analysis in Power Consumption Per Ton of Hot Rolled Steel Regression Forecasting Model[J]. Energy Technology, 2010, 0(1) |
| |
| Authors: | CAO Yang YANG Jie ZHANG Xu |
| |
| Affiliation: | HVAC & Gas Institute/a>;Tongji University/a>;Shanghai 200092/a>;China |
| |
| Abstract: | This paper investigates the statistical data collected from hot rolling process,and preliminarily determines primary factors that influencing power consumption per ton of hot rolled steel,including production, elongation,workpiece thickness,workpiece,initial length and rolling speed.The method of principal components analysis is applied to process and analyze the statistical data about these factors,and mathematical expressions of the first three components are concluded.On this basis,this paper establishes... |
| |
| Keywords: | power consumption per ton of hot rolled steel principal components analysis method multiple linear regression |
| 本文献已被 CNKI 等数据库收录！ |
|
