Title :
Estimation for the mill load state with data fusion in the blending process
Author :
Rui, Bai ; En-jie, Ma ; Tian-you, Chai
Author_Institution :
Coll. of Inf. Sci. & Technol., Liaoning Univ. of Technol., Jinzhou
Abstract :
In the blending process of alumina production, raw materials are fed into mill and blended to form the raw-blending slurry. In this blending process, mill load is one of the key factors to affect production, energy consumption. With data fusion approach, current and vibrate are used to estimate the state of mill load on-line. Application in an alumina factory shows the validity of the proposed approach.
Keywords :
aluminium industry; blending; energy consumption; milling; raw materials; sensor fusion; slurries; state estimation; alumina production; blending process; data fusion; energy consumption; mill load state estimation; raw materials; raw-blending slurry; Automation; Bismuth; Educational institutions; Educational products; Information science; Laboratories; Materials science and technology; Milling machines; Production; State estimation; Blending Process; Data Fusion; Load state; Mill Lad;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597306
