NDLI: Intelligent software sensors and process prediction for glass container forming processes based on multivariate statistical process control techniques

Content Provider	IEEE Xplore Digital Library
Author	Butler, D. Hongwei Zhang
Copyright Year	2012
Description	Author affiliation: Process Control, Ardagh Group, Glass: Doncaster, United Kingdom (Butler, D.) \|\| Faculty of Arts, Computing, Engineering and Science, Sheffield Hallam University, Howard Street, S1 1WB, UK (Hongwei Zhang)
Abstract	Glass container forming processes have attracted more attention over the past years due to the problem of lacking process information and correlation for key variables within the processes. In this paper an approach to develop process modeling and intelligent software sensing is presented for application based on multivariate statistical process control methods. The intelligent software sensors are able to provide real time estimation of key variables, and Partial Least Squares (PLS) techniques have allowed for forward prediction of final product quality variables. An application of software sensors used for container forming blank temperature is presented along with PLS being applied to predict the wall and base dimensions of glass container products. Initial results show that these methods are very promising in providing a significant improvement within this area which is usually unmonitored and is susceptible to long time delays between forming and quality inspection.
Starting Page	281
Ending Page	285
File Size	729066
Page Count	5
File Format	PDF
ISBN	9781467315593
e-ISBN	9781467315609
e-ISBN	9781467315586
DOI	10.1109/CONTROL.2012.6334643
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-03
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Software Sensors Condition Monitoring Process control Glass Containers Predictive models PCA Glass Container Forming Batch Control PLS Data models Sensors MSPC Principal component analysis
Content Type	Text
Resource Type	Article

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