一種新的灰關(guān)聯(lián)分析算法在軟測量中的應(yīng)用

1、322Vol.32,No.2 20063ACTA AUTOMATICA SINICA March,20061(116024TP274Application of a Novel Grey Relation Analysis Algorithmto Soft SensorLI Yong SHAO Cheng(Institute of Advanced Control Technology,Dalian University of Technology,Dalian116024Abstract As an eective technique of on-line measurement,soft

2、sensor has been studied by many eorts.Being the premise of soft sensor,it is important to select secondary variables, which can directly inuence the eciency of soft sensor.Grey relation analysis gives a novel method to dig correlation between variables and is suitable to conrm the correlation degree

3、 between little-sample data in uncertain systems.Through a detailed analysis of secondary variablesselection for soft sensor,a uniform incidence degree algorithm is presented based on grey relation theory to eciently select secondary variables.And a practical method to eliminate redundant variables

4、is also proposed.Meanwhile,a practical example is given to verify the feasibility and eectiveness of the method.Simulation results show that the method is ecient and helpful to enhance the accuracy of soft sensor.Key words Soft sensor,grey relation analysis,uniform incidence degree,radiate basis net

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15、; Í Ä ¡ ¾Ä « ¾ Ñ º Ä ©¤ ¤ ¤ 2 ½ Í Ò¨» ¥ ÓÃ Æ Î À 317 References 1 Mejdell T, Skogestad S. Output estimation using multiple secondary measurements: High-purity distillation. Am

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