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Model-based fault monitoring of a plastic film extrusion process

Model-based fault monitoring of a plastic film extrusion process

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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 study, 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.

References

    1. 1)
    2. 2)
    3. 3)
      • Taylor, A., Duncan, S.: `Actuator mapping and stability in real-life cross-directional control systems', Proc. Control Syst. 2006, 2006, Tampere, Finland, p. 191–196.
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • Y. Zhang , J. Zhang , J. Ma , Z. Wang . Fault detection based on discriminant analysis theory in electric power system. ICIC Express Lett. , 809 - 814
    8. 8)
    9. 9)
      • L. Chiang , E. Russell , R. Braatz . (2001) Fault detection and diagnosis in industrial systems, ser. Advanced textbooks in control and signal processing.
    10. 10)
    11. 11)
      • R.W. Hertzberg . (1996) Deformation and fracture mechanics of engineering materials.
    12. 12)
      • T. Kanai , G. Campbell . (1999) Film processing.
    13. 13)
    14. 14)
    15. 15)
      • L. Davis . (1991) Handbook of genetic algorithms.
    16. 16)
      • A. Featherstone , J. VanAntwerp , R. Braatz . (2000) Identification and control of sheet and film processes, ser. Advances in industrial control.
    17. 17)
    18. 18)
    19. 19)
      • R. Yusof , R. Zafira , A. Rahman , M. Khalid . (2010) Fault detection and diagnosis for process control rig using artificial intelligent.
    20. 20)
      • J. Chen , R.J. Patton . (1999) Robust model-based fault diagnosis for dynamic systems.
    21. 21)
    22. 22)
      • Z. Gu , D. Wang , D. Yue . Fault detection for continuous-time networked control systems with non-ideal QoS. Int. J. Innovative Comput. Inf. Control , 3631 - 3640
    23. 23)
      • Dutka, A., Javaherian, H., Grimble, M.J.: `Model-based engine fault detection and isolation', Proc. Am. Control Conf., 2009, St. Louis, USA, p. 4593–4600.
    24. 24)
    25. 25)
      • Y. Wang , W. Wang , D. Wang . LMI approach to design fault detection filter for discrete-time switched systems with state delays. Int. J. Innovative Comput. Inf. Control , 387 - 397
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