DocumentCode
2656749
Title
Classification and recognition of detecting parameters for cement rotary kiln
Author
Zhugang, Yuan ; Yongliang, Li ; Hongliang, Yu
Author_Institution
Inst. of Autom., Univ. of Jinan, Jinan
fYear
2008
fDate
16-18 July 2008
Firstpage
430
Lastpage
435
Abstract
In view of the complex hot-working process of cement rotary kiln, all relative factors to process are measured and classified as faulty condition and normal condition. Alarming faulty condition. the running patterns of system are built with an improved ART-2 cluster parsing algorithm under normal condition, carry on the correct recognition to the status of cement rotary kiln.
Keywords
adaptive resonance theory; cement industry; fault diagnosis; kilns; process control; ART-2 cluster parsing algorithm; cement rotary kiln; complex hot-working process; faulty condition; Automation; Classification algorithms; Clustering algorithms; Electronic mail; Fault diagnosis; Kilns; Pattern recognition; Q measurement; Subspace constraints; Tin; ART-2; Cement Rotary Kiln; Fault Recognition; Kiln Condition Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location
Kunming
Print_ISBN
978-7-900719-70-6
Electronic_ISBN
978-7-900719-70-6
Type
conf
DOI
10.1109/CHICC.2008.4604965
Filename
4604965
Link To Document