·50· 工程科学学报，第37卷，增刊1 12 ping.Mechanical Systems and Signal Processing,2013,34(1/2): B]Yuan M.Width control of strip head and tail in 1780mm hot strip 191 mill.Metallurgical Industry Automation,2007(1):39 ]Peng HC.Long F H,Ding C.Feature selection based on mutual (袁敏.1780热连轧机带钢头尾宽度控制.治金自动化，2007 information:criteria of max-dependency,max-relevance,and (1):39) min-tedundancy.IEEE Trans Pattern Anal Mach Intell,2005,27 4]Hong W K,Kim P H,Moon Y H,et al.Hot strip width control (8):1226 method by using looper tension measuring system in finishing mill. [10]Tang Y B,Gui W H,Peng T,et al.Prediction method for dis- Journal of Materials Processing Technology,2001,111(13):74 solved gas concentration in transformer oil based on variable se- [5]Chiang L.H,Russell E L,Braatz R D.Fault Detection and Diag- lection of mutual information.Chinese Journal of Scientific Instru- nosis in Industrial Systems.Springer,2001 met,2013,34(7):1492 Braha D.Data Mining for Design and Manufacturing:Methods (唐勇波，桂卫华，彭涛，等.基于互信息变量选择的变压器 and Applications.London:Kluwer Academic Publishers,2001 油中溶解气体浓度预测.仪器仪表学报，2013,34(7)： Kassidas A,Macgregor J F,Taylor PA.Synchronization of batch 1492) trajectories using dynamic time warping.A/ChE J,1998,44(4): 1]Principe ]C.Information Theoretic Learning:Renyis Entropy 864 and Kernel Perspectires.German:Springer-Verlag,2010 [8]Zhen D,Wang T,Gu F,et al.Fault diagnosis of motor drives [12]Huang D,Chow T W S.Effective feature selection scheme using using stator current signal analysis based on dynamic time war- mutual information.Neurocomputing,2005,63:325工程科学学报，第 37 卷，增刊 1 12 ［3］ Yuan M． Width control of strip head and tail in 1780 mm hot strip mill． Metallurgical Industry Automation，2007( 1) : 39 ( 袁敏． 1780 热连轧机带钢头尾宽度控制． 冶金自动化，2007 ( 1) : 39) ［4］ Hong W K，Kim P H，Moon Y H，et al． Hot strip width control method by using looper tension measuring system in finishing mill． Journal of Materials Processing Technology，2001，111( 1-3) : 74 ［5］ Chiang L H，Russell E L，Braatz R D． Fault Detection and Diag￾nosis in Industrial Systems． Springer，2001 ［6］ Braha D． Data Mining for Design and Manufacturing: Methods and Applications． London: Kluwer Academic Publishers，2001 ［7］ Kassidas A，Macgregor J F，Taylor P A． Synchronization of batch trajectories using dynamic time warping． AIChE J，1998，44( 4) : 864 ［8］ Zhen D，Wang T，Gu F，et al． Fault diagnosis of motor drives using stator current signal analysis based on dynamic time war￾ping． Mechanical Systems and Signal Processing，2013，34( 1 /2) : 191 ［9］ Peng H C，Long F H，Ding C． Feature selection based on mutual information: criteria of max-dependency， max-relevance， and min-redundancy． IEEE Trans Pattern Anal Mach Intell，2005，27 ( 8) : 1226 ［10］ Tang Y B，Gui W H，Peng T，et al． Prediction method for dis￾solved gas concentration in transformer oil based on variable se￾lection of mutual information． Chinese Journal of Scientific Instru￾ment，2013，34( 7) : 1492 ( 唐勇波，桂卫华，彭涛，等． 基于互信息变量选择的变压器 油中溶解 气 体 浓 度 预 测． 仪 器 仪 表 学 报，2013，34 ( 7 ) : 1492) ［11］ Principe J C． Information Theoretic Learning: Renyi's Entropy and Kernel Perspectives． German: Springer-Verlag，2010 ［12］ Huang D，Chow T W S． Effective feature selection scheme using mutual information． Neurocomputing，2005，63: 325 ·50·