Fault detection and diagnosis of a plastic film extrusion process

Sung-ho Hur, Reza Katebi, Andrew Taylor, DuPont Teijin Films UK Ltd (Funder), UK EPSRC Industrial CASE Award (Funder)

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)
131 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationUKACC International Conference on Control 2010
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages453-458
Number of pages6
ISBN (Print)9781846000386
DOIs
Publication statusPublished - 7 Sep 2010
EventUKACC International Conference on CONTROL 2010 - Coventry, UK, United Kingdom
Duration: 7 Sep 201010 Sep 2010

Conference

ConferenceUKACC International Conference on CONTROL 2010
CountryUnited Kingdom
CityCoventry, UK
Period7/09/1010/09/10

Keywords

  • plastic film extrusion
  • fault detection
  • fault diagnosis
  • parity relations
  • genetic algorithms

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