DocumentCode :
2565200
Title :
Automated mill control using vibration signal processing
Author :
Gugel, Karl S. ; Moon, Rodney M., II
fYear :
2007
fDate :
April 29 2007-May 2 2007
Firstpage :
17
Lastpage :
25
Abstract :
Historically many different signals have been employed in the quest for optimal automatic closed loop mill control. These include mill power, sound, elevator amps, bearing pressure and temperature as a few examples. However, within the last few years, a new technology is emerging that makes all these antiquated techniques obsolete. This new technology is mill control using vibration sensors, analog to digital converters and digital signal processing (DSP). This paper presents a brief but current overview of mill vibration analysis and control using signal processing techniques. It then also documents an actual ´before and after´ case comparing mill control using classical techniques versus automate loop control using mill vibration to instantaneously estimate and control mill fill level. It will be shown that significant improvements in material throughput, reduced kilo-watt per ton numbers, improved material quality can all be realized with vibration control
Keywords :
analogue-digital conversion; cement industry; industrial plants; sensors; signal processing; vibration control; DSP; analog-to-digital converters; bearing pressure; cement plant; digital signal processing; elevator amps; material quality; mill vibration analysis; optimal automatic closed loop mill control; vibration control; vibration sensors; vibration signal processing; Acoustic sensors; Analog-digital conversion; Automatic control; Digital signal processing; Elevators; Milling machines; Optimal control; Signal processing; Temperature sensors; Vibration control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cement Industry Technical Conference Record, 2007. IEEE
Conference_Location :
Charleston, SC
ISSN :
1079-9931
Print_ISBN :
1-4244-1195-5
Electronic_ISBN :
1079-9931
Type :
conf
DOI :
10.1109/CITCON.2007.358983
Filename :
4198200
Link To Document :
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