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Soft Sensing of Overflow Particle Size Distributions in Hydrocyclones Using a Combined Method

Soft Sensing of Overflow Particle Size Distributions in Hydrocyclones Using a Combined Method

作     者:孙喆 王焕钢 张曾科 

作者机构:Department of AutomationTsinghua University 

出 版 物:《Tsinghua Science and Technology》 (清华大学学报(自然科学版(英文版))

年 卷 期:2008年第13卷第1期

页      面:47-53页

核心收录:

学科分类:08[工学] 0804[工学-仪器科学与技术] 

基  金:the Key Technologies Research and Development Program of the Eleventh Five-Year Plan of China (No. 2006AA060206) 

主  题:soft sensing overflow particle size distribution machine learning identification 

摘      要:Precise, real-time measurements of overflow particle size distributions in hydrocyclones are necessary for accurate control of the comminution circuits. Soft sensing measurements provide real-time, flexible, and low-cost measurements appropriate for the overflow particle size distributions in hydrocyclones. Three soft sensing methods were investigated for measuring the overflow particle size distributions in hydrocyclones. Simulations show that these methods have various advantages and disadvantages. Optimal Bayesian estimation fusion was then used to combine three methods with the fusion parameters determined according to the performance of each method with validation samples. The combined method compensates for the disadvantages of each method for more precise measurements. Simulations using real operating data show that the absolute root mean square measurement error of the combined method was always about 2% and the method provides the necessary accuracy for beneficiation plants.

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