DocumentCode :
2481015
Title :
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
Link To Document :
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