###
DOI:
计算机系统应用英文版:2011,20(12):83-86
本文二维码信息
码上扫一扫!
热轧工艺关键变量的提取方法
(武汉科技大学 信息科学与工程学院,武汉 430081)
Key Variable Extraction in Hot Rolling Process
(College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China)
摘要
图/表
参考文献
相似文献
本文已被:浏览 1443次   下载 3060
Received:March 29, 2011    Revised:May 01, 2011
中文摘要: 在热轧带钢生产中,终轧温度的控制精度是影响产品质量的重要指标,而影响精轧终轧温度的因素较多且复杂,从单一影响因素上分析对精轧温度的影响是不够准确和全面的。因此,提出了一种基于属性重要性的热轧关键变量提取方法。该方法是从整个决策系统的角度上分析每个可能对精轧目标温度有影响的属性,筛掉对目标温度属性没有影响的属性,确定每一个属性的属性重要性大小,再根据温度预报精度要求以及热轧工艺特点,提取影响精轧终轧温度的关键特征变量。实际应用结果表明,这种方法可以有效的提取出对热轧终轧温度有影响的关键特征变量。
Abstract:In the process of hot strip production, the control accruracy of the finish rolling temperature is an important indicator which affects quality of the products. As factors which have impact on the final finish rolling temperature are numerous and complicated, it's inaccurate and incomprehensive to analyze by looking at one single factor. With this in mind, a key variable extraction method in the hot rolling process based on importance of attributes is presented. This method, in the perspective of the entire decision-making system, analyzes each affected attributes, filter out the temperature attribute which doesn't affect the finish rolling temperature, determines the importance of each attribute. Based on the requirement of the temperature prediction accuracy and the characteristics of hot rolling process, the system extracts the key features of variables affecting the final finish rolling temperature. The application example demonstrates that this method can effectively extract the key features of variables that affect the final finish rolling temperature.
文章编号:     中图分类号:    文献标志码:
基金项目:湖北省优秀中青年创新团队项目(T200801);湖北省教育厅重点项目(D20091103);武汉科技大学教研项目(2008033)
引用文本:
钟蜜,刘斌,蒋峥.热轧工艺关键变量的提取方法.计算机系统应用,2011,20(12):83-86
ZHONG Mi,LIU Bin,JIANG Zheng.Key Variable Extraction in Hot Rolling Process.COMPUTER SYSTEMS APPLICATIONS,2011,20(12):83-86