| 磨矿过程产品粒度软测量的比较研究 |
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| 引用本文： | 周平,柴天佑.磨矿过程产品粒度软测量的比较研究[J].东北大学学报(自然科学版),2010,31(12):1673-1676. |
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| 作者姓名： | 周平 柴天佑 |
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| 作者单位： | 东北大学,流程工业综合自动化教育部重点实验室,辽宁沈阳110004;东北大学,流程工业综合自动化教育部重点实验室,辽宁沈阳110004 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助项目，国家重点基础研究发展计划项目 |
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| 摘 要： | 磨矿粒度(GPS)难以进行直接在线检测且化验过程滞后,必须采用软测量技术对其进行在线估计以及在此基础上的闭环控制.针对一个实际的两段式磨矿回路流程,分别基于多元回归、案例推理(CBR)和神经网络(NN)技术建立了三种磨矿粒度软测量模型,并对其进行了基于工业试验的比较研究.结果表明,基于CBR的磨矿粒度软测量方法优于BP神经网络软测量(BP-NN)方法和多元回归模型估计方法.
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| 关 键 词： | 磨矿粒度(GPS) 软测量 CBR BP-NN 多元回归 |
Comparative Study on Soft-Sensor of Grinding Particle Size |
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| ZHOU Ping,CHAI Tian-you.Comparative Study on Soft-Sensor of Grinding Particle Size[J].Journal of Northeastern University(Natural Science),2010,31(12):1673-1676. |
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| Authors: | ZHOU Ping CHAI Tian-you |
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| Institution: | ZHOU Ping,CHAI Tian-you(Key Laboratory of Integrated Automation of Process Industry,Ministry of Education,Northeastern University,Shenyang 110004,China) |
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| Abstract: | It is difficult to measure the grinding particle size(GPS)online directly,while the offline analysis with samples in lab will cause long time delay.The soft-sensor technique is therefore required to achieve the online estimation and closed-loop control of the GPS.Taking a practical two-stage grinding circuit as the objective to investigate,three GPS soft-sensor models were developed based on multiple regression,cased-based reason(CBR),and neural network(NN),respectively.These soft-sensor models were discuss... |
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| Keywords: | grinding particle size(GPS) soft-sensor case-based reason(CBR) BP-NN multiple regression |
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