NDLI: Polymer extrusion process monitoring using nonlinear dynamic model-based PCA

Content Provider	IEEE Xplore Digital Library
Author	Xueqin Liu Kang Li McAfee, M. Jing Deng
Copyright Year	2012
Description	Author affiliation: School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, BT9 5AH, U.K. (Xueqin Liu; Kang Li; Jing Deng) \|\| Department of Mechanical and Electronic Engineering, Institute of Technology Sligo, Ireland (McAfee, M.)
Abstract	Polymer extrusion is one of the final forming stages in the production of many polymeric products in a variety of applications. It is also an intermediate processing step in injection moulded, blown film, thermo-formed, and blow moulded products. However, polymer extrusion is a complex process which is difficult to set up, monitor, and control. As a consequence, high levels of off- specification products and long down-times are the problems facing the plastics industry. This paper proposes a new method for fault detection of the polymer extrusion processes, where the nonlinear finite impulse response (NFIR) model and principal component analysis (PCA) are integrated to form a nonlinear dynamic model-based PCA monitoring scheme. Here the NFIR model is used to capture the nonlinearity and dynamics of the extrusion process. The residuals resulting from the difference between the model predicted outputs and process outputs are then analyzed by PCA to detect process faults. The experimental results confirm the efficacy of the proposed model-based PCA approach for fault detection of polymer extrusion processes.
Starting Page	7
Ending Page	12
File Size	1125260
Page Count	6
File Format	PDF
ISBN	9781467315593
e-ISBN	9781467315609
e-ISBN	9781467315586
DOI	10.1109/CONTROL.2012.6334593
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	Computational modeling Polymer extrusion process Predictive models Data models Nonlinear dynamical systems Polymers Nonlinear dynamic model Monitoring Principal component analysis
Content Type	Text
Resource Type	Article

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