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| 基于核主成分分析的热轧带钢头部拉窄分析 | |
| 引用本文： | 何飞,徐金梧,阳建宏,黎敏. 基于核主成分分析的热轧带钢头部拉窄分析[J]. 北京科技大学学报, 2012, 34(4): 437-443 |
| 作者姓名： | 何飞 徐金梧 阳建宏 黎敏 |
| 作者单位： | 1. 北京科技大学国家板带生产先进装备工程技术研究中心,北京,100083 2. 北京科技大学国家板带生产先进装备工程技术研究中心,北京100083／北京科技大学机械工程学院,北京100083 3. 北京科技大学机械工程学院,北京,100083 |
| 基金项目： | 国家自然科学基金资助项目,国家高技术研究发展计划资助项目,高等学校博士学科点专项科研基金资助项目,国家“十二五”科技支撑计划资助项目,中国博士后基金资助项目 |
| 摘 要： | 将核主成分分析方法引入热轧生产过程的监控与诊断中,根据平方预测误差统计量进行生产过程监控,然后利用数据重构和优化的邻域选取策略相结合的方法求出各工艺参数对平方预测误差统计量的作用,分析引起过程异常的主要工艺参数,最后利用仿真和热轧带钢实际生产数据进行实验.结果表明:基于核主成分分析的平方预测误差统计量能较准确诊断过程的异常,并可以找出引起异常的原因,为调整生产过程提供方法支撑,防止次品的出现. |
| 关 键 词： | 热轧 带钢 产品质量 主成分分析 数据分析 |
Cause analysis of the head width narrowing of hot rolled strips based on the kernel principal component analysis |
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| HE Fei,XU Jin-wu,YANG Jian-hong,LI Min. Cause analysis of the head width narrowing of hot rolled strips based on the kernel principal component analysis[J]. Journal of University of Science and Technology Beijing, 2012, 34(4): 437-443 | |
| Authors: | HE Fei XU Jin-wu YANG Jian-hong LI Min |
| Affiliation: | 1) National Engineering Research Center of Flat Rolling Equipment,University of Science and Technology Beijing,Beijing 100083,China 2) School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,China |
| Abstract: | A method of production quality monitoring and diagnosis based on the kernel principal component analysis was introduced in the hot rolled strip process.The squared prediction error(SPE) statistic was used in process monitoring.The diagnosis criterion could express the influential importance to SPE,which was computed by the data construction method and the optimal neighbor selection strategy.Finally,simulation data and actual production data were used for model validation.The result shows that the SPE statistic based on the kernel principal component analysis can detect the abnormality and track the causes of faults effectively for adjusting the production process to prevent from substandard products. |
| Keywords: | hot rolling strips product quality principal component analysis data analysis |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |