Title :
The recognition of working condition of cement rotary kiln based on information fusion
Author :
Yuan, Zhugang ; Liu, Zhiyuan ; Pei, Run ; Yu, Hongliang
Author_Institution :
Dept. of Control Sci. & Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
The rotary kiln is a non-linear controlled object with multi-factors, slow time-variable, big time lag and close coupling, and it is difficult to establish its precise mathematical model. In this article the tendency type of the main examination parameters is recognized with an improved ART-2 cluster parsing algorithm. After the working condition of each parameter is made clear, the real-time status of many parameters will be synthesized, and the current running status of rotary can be concluded on the basis of the experiences of experts, hence the recognition of working condition for cement rotary kiln based on information fusion will be realized.
Keywords :
ART neural nets; cement industry; computerised monitoring; condition monitoring; kilns; production engineering computing; sensor fusion; adaptive resonance theory; cement rotary kiln; improved ART-2 cluster parsing algorithm; information fusion; working condition; Adaptive control; Automation; Clustering algorithms; Employee welfare; Kilns; Logistics; Mathematical model; Optimal control; Programmable control; Subspace constraints; Adaptive Resonance Theory (ART); Cement Rotary Kiln; Information Fusion; Recognition of Working Condition;
Conference_Titel :
Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-4794-7
Electronic_ISBN :
978-1-4244-4795-4
DOI :
10.1109/ICAL.2009.5262780
