DocumentCode :
1679663
Title :
An diagnosis method of chatter marks based on PCA
Author :
Zhang, Jian ; Wu, Shengxi ; Xu, Jiazhuo
Author_Institution :
East China Univ. of Sci. & Technol., Shanghai, China
fYear :
2010
Firstpage :
1512
Lastpage :
1517
Abstract :
Chatter mark on the surface of the cold rolled or skin passed steel strips will seriously depress the product quality. This paper deeply analysis the mechanism and data relationship of rolling plant, find out the process data information and variables related to chatter mark. Based on the method of PCA, build the relation model of chatter mark and the state of rolling plant, diagnose the main process variables and parameters that lead to chatter marks, and gives recommendations for the guidance of production operations. Off-line tests show that the method can effectively prevent the emergence of flower formation.
Keywords :
cold rolling; machining chatter; principal component analysis; production engineering computing; quality management; rolling mills; PCA; chatter marks diagnosis; cold rolled steel strips; flower formation; product quality; production operations; rolling plant; skin passed steel strips; Correlation; Industries; Inspection; Monitoring; Principal component analysis; Skin; Strips; Cold-rolled; PCA; chatter marks; line monitoring system; variable correlation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2010 8th World Congress on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-6712-9
Type :
conf
DOI :
10.1109/WCICA.2010.5554142
Filename :
5554142
Link To Document :
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