Model-based fault monitoring of a plastic film extrusion process

Hur, S.-H and Katebi, R. and Taylor, A. (2011) Model-based fault monitoring of a plastic film extrusion process. IET Control Theory and Applications, 5 (18). pp. 2075-2088. ISSN 1751-8644

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Official URL: https://doi.org/10.1049/iet-cta.2010.0557

Abstract

This study reports the modelling of a plastic film extrusion process and the development and implementation of a model-based fault monitoring system. The model is mainly derived from the first-principles of chemical and mechanical engineering in addition to empirical knowledge related to the behaviour of polymer and designed to provide a safe offline platform for developing monitoring and control systems. The fault monitoring system constructs a residual via parity relations, and a multi-objective optimisation problem must therefore be solved in order that the residual can be sensitive to faults but insensitive to disturbances and modelling errors. In this paper, a genetic algorithm is exploited for solving this multi-objective optimisation problem, and the resulting fault monitoring system is applied to the model. Simulation results demonstrate that various types of faults can be detected and diagnosed successfully.

Creators(s):	Hur, S.-H ORCID: https://orcid.org/0000-0002-9263-1584, Katebi, R. ORCID: https://orcid.org/0000-0003-2729-0688 and Taylor, A.;
Item type:	Article
ID code:	42173
Keywords:	plastic film extrusion, web process, first principles modelling, fault detection, fault diagnosis, parity relations, genetic algorithm, Electrical engineering. Electronics Nuclear engineering, Control and Optimization, Control and Systems Engineering, Computer Science Applications, Electrical and Electronic Engineering, Human-Computer Interaction
Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
Department:	Faculty of Engineering > Electronic and Electrical Engineering
Depositing user:	Pure Administrator
Date deposited:	23 Nov 2012 14:15
Last modified:	20 Jan 2021 19:46
Related URLs:	Scopus publication UNSPECIFIED
URI:	https://strathprints.strath.ac.uk/id/eprint/42173
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