Based on Spectral Information Fusion Soft Senser Modeling of Wet Ball Mill Load

摘要：

Ball mill load measurement is essential to control and operational optimization for the wet grinding process, which affects the production efficiency and energy consumption. A frequency spectral information fusion soft sensor model is proposed to estimation the mill load in the paper. PCA is used to extract the feature of frequency spectrum to deal with many, noise and collinear variables. FFT is used to estimate the power spectral density(PSD)of the vibration and acoustic signal. PLS were combined with PCA scores inputs to develop mill load. Principal component numbers are selected by an optimize model. A case study shows that the proposed frequency spectral information fusion soft sensor model is effective, and produces better predictive performance than single sensor model.

关键词： Ball mill load Soft sensor frequency spectrum PCA PLS

作者: ZHAO Li-Jie TANG Jian YUE Heng CHAI Tian-you

作者单位: key laboratory of integrated automation of process industry, Ministry of Education,Northeastern Univ key laboratory of integrated automation of process industry, Ministry of Education,Northeastern Univ

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 436-440

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）