20辊轧机工艺对厚度波动影响的主成分回归分析
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摘要
运用主成分回归分析方法,以出口厚偏差表征厚度波动,研究了20辊森吉米尔轧机轧制工艺参数对厚度波动的影响。结果表明,在所选的11个自变量中,对厚度波动影响最大的变量为轧制入口厚偏差,该变量与轧制稳定性相关;影响次之的为材料塑性系数,该变量与材料本身性质相关;影响最小的为轧制力,该变量在轧制过程中可实时精确控制。
The influence of 20~(th) Sendzimir Mill on the thickness fluctuation is studied by the principal component regression analysis method.The thickness fluctuation is expressed by the exit thickness deviation.The results indicate that in the 11 variables,the greatest influence on the thickness fluctuation is the entry thickness deviation,which relates to the stability of the rolling.The second one is coefficient of the material,which relates to the nature of material.The last one is rolling force which can be accurately controlled during the rolling process.
The influence of 20~(th) Sendzimir Mill on the thickness fluctuation is studied by the principal component regression analysis method.The thickness fluctuation is expressed by the exit thickness deviation.The results indicate that in the 11 variables,the greatest influence on the thickness fluctuation is the entry thickness deviation,which relates to the stability of the rolling.The second one is coefficient of the material,which relates to the nature of material.The last one is rolling force which can be accurately controlled during the rolling process.
引文
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[3]蒋浩天.工业系统的故障与诊断[M].段建民,译.北京:机械工业出版社,2003.
[4]张杰,阳宪惠.多变量统计过程控制[M].北京:化学工业出版社,2000.
[5]赵旭,阎威武,邵惠鹤.基于多变量统计方法的产品质量控制[J].上海交通大学学报,2007,41(1):126-130.
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[7]Jollife I T.Principal component analysis[M].2nd ed.New York:Springer,2002.
[8]刘晓明.冷轧Pda数据采集系统的应用[J].自动化应用,2012(6):48-49.
[9]姜文,臧元国,朱荣涛.PDA数据采集系统在冷轧生产线上的应用[J].信息技术与信息化,2010(4):81-83.
[10]魏青轩.PDA数据采集系统在热连轧生产线的应用[D].太原:太原理工大学,2010.
[11]朱京考.基于主成分回归分析法预测中国铁矿石需求[J].北京科技大学学报,2011,33(10):1177-1181.
[12]王宝明,赵志毅,陈凌峰,等.夹杂物尺寸及数量对无取向硅钢磁性能影响的主成分回归分析[J].冶金分析,2014,34(10):1-6.
[13]陈凌峰,赵志毅,王宝明,等.织构对无取向硅钢磁性能影响的主成分回归分析[J].热加工工艺,2015,44(16):62-67.