Title :
Soft-sensor for alkaline solution concentration of evaporation process
Author :
Wang, Yonggang ; Ding, Jinliang ; Chai, Tianyou
Author_Institution :
Key Lab. of Integrated Autom. of Process Ind., Minist. of Educ., Shenyang
Abstract :
Evaporation process is an important working procedure in alumina production. The production index of the evaporation system is alkaline solution concentration. Alkaline solution concentration can not be measured on-line in practical production for the present. Assay result directs the industrial product which leads to more steam consumption, easy scaling and recycling inefficiency for alkaline solution. In order to solve the periodicity and slow time-varying of evaporation process and few samples in initial stage, the paper searches similar samples in initial stage of the past period and develops soft sensor model by adding forgetting factor to moving window based on recursive partial least square. Simulation results show that the precision of the model is relative higher and can satisfy the needs of industrial production.
Keywords :
alkali metals; evaporation; inference mechanisms; least squares approximations; production engineering computing; steam; alkaline solution concentration; alumina production; evaporation process; recursive partial least square; soft-sensor; steam consumption; Automation; Feeds; Heat transfer; Leaching; Lead; Least squares methods; Metal product industries; Metals industry; Production systems; Recycling; Alkaline solution concentration; Evaporation system; Recursive partial least square; Soft sensor;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594499
