Fault detection and diagnosis of a plastic film extrusion process

Hur, Sung-ho and Katebi, Reza and Taylor, Andrew DuPont Teijin Films UK Ltd (Funder), UK EPSRC Industrial CASE Award (Funder) (2010) Fault detection and diagnosis of a plastic film extrusion process. In: UKACC International Conference on Control 2010. IEEE, GBR, pp. 453-458. ISBN 9781846000386 (https://doi.org/10.1049/ic.2010.0325)

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Abstract

This paper presents a new approach to the design of a model-based fault detection and diagnosis system for application to a plastic film extrusion process. The design constructs a residual generator via parity relations. A multi-objective optimisation problem must be solved in order for the residual to be sensitive to faults but insensitive to disturbances and modelling errors. In this paper, we exploit a genetic algorithm for solving this multi-objective optimisation problem and the resulting fault detection and diagnosis system is applied to a first-principles model of a plastic film extrusion process. Simulation results demonstrate that various types of faults can be detected and diagnosed successfully.

ORCID iDs

Hur, Sung-ho ORCID logoORCID: https://orcid.org/0000-0002-9263-1584, Katebi, Reza ORCID logoORCID: https://orcid.org/0000-0003-2729-0688 and Taylor, Andrew;
CORE (COnnecting REpositories)