Predictive modeling of cement decomposing furnace temperature

Author

Zhang, Jinfeng ; Pang, Bo ; Cai, Ning ; Yan, Wenjun

Author_Institution

Coll. of Electr. Eng., Zhejiang Univ., Hangzhou, China

fYear

2010

Firstpage

1552

Lastpage

1556

Abstract

This paper researches and validates a predictive modeling method for complex industrial environment. Via combining industrial field data with system mechanism, the paper analyzes the technology of industrial data pretreatment and establishes the impulse response model of cement decomposing furnace temperature, then explores the model adjusting method. The paper compares the modeling performance between the regression method without constraints and the regression method with constraints. The field control results demonstrate the good performance of this modeling method.

Keywords

cement industry; furnaces; regression analysis; cement decomposing furnace temperature; complex industrial environment; impulse response model; industrial field data; model adjusting method; predictive modeling; regression method; system mechanism; Analytical models; Data models; Electrical engineering; Furnaces; Optimization; Predictive control; Predictive models; data pretreatment; impulse response; model correction; regression with constraint; regression without constraint;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation (WCICA), 2010 8th World Congress on

Conference_Location

Jinan

Print_ISBN

978-1-4244-6712-9

Type

conf

DOI

10.1109/WCICA.2010.5554271

Filename

5554271