Application of ART-2 network in the recognition of kiln operating condition

Author

Yuan, Zhugang ; Li, Yongliang ; Wang, Xiaohong ; Bai, Daisheng

Author_Institution

Sch. of Control Sci.&Eng., Univ. of Jinan, Jinan

fYear

2008

fDate

25-27 June 2008

Firstpage

1819

Lastpage

1824

Abstract

In view of the complex hot-working process of cement rotary kiln , overall consider various factors which influence hot-working process of cement rotary kiln , all relative factors to process are measured and the running patterns of system are built with an improved ART-2 cluster parsing algorithm, carry on the correct recognition to the status of cement rotary kiln. According to the real-time kiln status selecting suitable control strategy , make the foundation for the rotary kiln realize intelligence control.

Keywords

ART neural nets; cement industry; hot working; kilns; neurocontrollers; pattern clustering; real-time systems; ART-2 cluster parsing algorithm; ART-2 neural network; cement rotary kiln; hot-working process; kiln operating condition recognition; real-time kiln status selection; rotary kiln realize intelligence control; Automation; Clustering algorithms; Intelligent control; Kilns; Pattern recognition; ART-2; Cement rotary kiln; Cluster parsing algorithm; Kiln status recognition;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WCICA.2008.4593199

Filename

4593199