Advertisement

Industrial Applications of Model-Based Approaches to Fault Diagnosis

  • N. F. Doherty
  • A. K. Kochhar
Chapter

Summary

This paper describes the research undertaken to determine the impact that model-based approaches to fault diagnosis have made in the industrial environment. To verify the hypothesis that few if any model-based approaches were finding practical applications, an investigation was conducted. The results of the investigation indicated that whilst most systems had been applied to genuine, rather than hypothetical, devices only one system had been implemented in the workplace. Furthermore, this paper identifies some of the reasons for the lack of practical applications of the model-based approach. The reasons for the successful industrial implementation of one model-based diagnostic system (MIDAS) are presented. Finally, it is concluded that there is a genuine need to develop and evaluate model-based systems in an industrial context to determine whether their potential benefits can be realised in practice.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    E. TURBAN (1988) Decision Support and Expert Systems, Macmillan, New York.Google Scholar
  2. [2]
    J. McDERMOTT (1982) R1: A Rule Based Configurer of Computer Systems, Artificial Intelligence, Vol. 9, No. 1, pp 39–88.CrossRefGoogle Scholar
  3. [3]
    R. KERR (1991) Knowledge-based Manufacturing Management, Addison-Wesley, Singapore.Google Scholar
  4. [4]
    B.G. BUCHANAN, D. BARSTOW, R. BECHTEL, J. BENNET, W. CLANCEY, C. KUL1KOWSKI, T. MITCHELL and D.A. WATERMAN (1983) Constructing an Expert System, in Building Expert Systems, (Eds) Hayes-Roth, F., Waterman, D.A. and Lenet, D.B., Addison-Wesley, ReadingGoogle Scholar
  5. [5]
    C. PRICE (1992) Practical Model-based Reasoning, AI Intelligence, February, pp 16–17.Google Scholar
  6. [6]
    D.G. BOBROW (1984) Qualitative Reasoning about Physical Systems: An Introduction, Artificial Intelligence, Vol. 24, No. 3, pp 1–5.CrossRefGoogle Scholar
  7. [7]
    G. GUIDA (1985) Reasoning about Physical Systems: Shallow versus Deep Models, in Expert Systems and Optimization in Process Control, (Eds) Mamandini, A., and Efstathiou, J., Technical Press.Google Scholar
  8. [8]
    C.J. PRICE (1988) Developing a Qualitative Representation of Mechanical Devices for use in Diagnosis, Engineering Applications of Al, Vol. 1, June, pp 87–96.Google Scholar
  9. [9]
    P. TORASSO and L. CONSOLE (1989) Diagnostic Problem Solving, North Oxford Academic Publishers.Google Scholar
  10. [10]
    C.J. PRICE and M. LEE (1988) Applications of Deep Knowledge, Artificial Intelligence in Engineering, Vol. 3, No. 1, pp 12–17.CrossRefGoogle Scholar
  11. [11]
    K. KEMPF (1988), in Intelligent Manufacturing, (Ed) M. Oliff, Benjamin Cummings.Google Scholar
  12. [12]
    J.C. KUNZ, M.J. STELZNER and M.D. WILLIAMS (1989) From Classic Expert Systems to Models: Introduction to a Methodology for Building Model-based Systems, in Topics in Expert Systems Design, (Eds) Guida, G. and Tasso, C., Elsevier North Holland.Google Scholar
  13. [13]
    C. PRICE and J. HUNT (1990) Automating FMEA through Multiple Models, UCW Technical Report No. UCW-TR-173-91, University College Wales.Google Scholar
  14. [14]
    B. DRABBLE and C. WILLIAMS (1991), Qualitative Reasoning in Engineering, Artificial Intelligence Applications Institute, February (1991).Google Scholar
  15. [15]
    R. DAVIS and W. HAMSCHER (1988)Model-based Reasoning, in Exploring A.1., (Ed) Shrobe H.E., Morgan Kauffman.Google Scholar
  16. [16]
    R. DAVIS (1984) Diagnostic Reasoning based upon Structure and Behaviour, Artificial Intelligence, Vol. 24, No. 3, pp 347–410.CrossRefGoogle Scholar
  17. [17]
    M.R. GENESERETH (1984) The use of Design Descriptions in Automated Diagnosis, Artificial Intelligence, Vol. 24, No. 3, pp 411–436.MathSciNetCrossRefGoogle Scholar
  18. [18]
    J. De KLEER, and B.C. WILLIAMS (1987) Diagnosing Multiple Faults, Artificial Intelligence, Vol. 32, No. 1, pp 97–130.CrossRefzbMATHGoogle Scholar
  19. [19]
    R. REITER (1987) A Theory of Diagnosis from First Principles, Artificial Intelligence, Vol. 32, No. 1, pp 57–96.MathSciNetCrossRefzbMATHGoogle Scholar
  20. [20]
    R. MILNE (1989) The Theory of Responsibilities, SIGART Newsletter, No. 93, pp 25–29.Google Scholar
  21. [21]
    P.K. FINK and J.C. LUSTH (1987) Expert Systems and Diagnostic Expertise in the Mechanical and Electrical Domains, IEEE Transactions on Systems, Man and Cybernetics, Vol. 17, No. 3, pp 340–349.CrossRefGoogle Scholar
  22. [22]
    J.E. HUNT (1989) A Qualitative Diagnostician for Mechanical Devices, Engineering Applications of Artificial Intelligence, Vol. 2, March, pp 28–39.CrossRefGoogle Scholar
  23. [23]
    C. KOUKOULIS (1985) A Frame-based Method for Fault Diagnosis, in Expert Systems and Optimization in Process Control, (Eds) Mamandini, A., and Efstathiou, J., Technical Press.Google Scholar
  24. [24]
    J.J. LEARY and P.J. GAWTHROP (1987) Process Fault Detection using Constraint Suspension, IEE Proceedings, Vol. 134, Pt. D, No. 4, pp 264–271.CrossRefzbMATHGoogle Scholar
  25. [25]
    M.A. BRAMER, D. MUIRDEN, J. PIERCE, J.C. PLATTS, and D.L. VIPOND (1988) FAUST — An Expert System for Diagnosing Faults in an Electricity Supply System, in Research & Development in Expert Systems 5, (Eds) Kelly, B. and Rector, A., Cambridge University Press.Google Scholar
  26. [26]
    T.F. PETTI, J. KLEIN and P.S. DHURJATI (1990) Diagnostic Model Processor:using Deep Knowledge for Process Fault Detection, Comput. Chem. Eng., Vol. 12, pp. 891–902.Google Scholar
  27. [27]
    J.J KELLY, AND K.M. FORD (1990) Diagnosis using Model-based Reasoning by Constraint Propagation: A Preliminary Report on Monitoring NASA Space Shuttle Liquid Hydrogen Loading, International Journal of Expert Systems, Vol. 3, No. 2., pp 87–104.Google Scholar
  28. [28]
    R. MILNE (1991) Second Generation Expert Systems: The Applications Gap, Avignon’ 91 Second Generation Expert Systems Conference.Google Scholar
  29. [29]
    N.F. DOHERTY (1992) Knowledge-based Approaches to Fault Diagnosis, Ph. D. Thesis, University of Bradford.Google Scholar
  30. [30]
    K. OLDHAM, R.P. MAIN, J.M. COOPER, and N.F. DOHERTY (1991) “DIPLOMA — The Seal of Approval”, Applications of A.I. in Engineering 6, (Eds) Rzevski, G. and Adey, R.A., Elsevier, Barking.CrossRefGoogle Scholar

Copyright information

© Department of Mechanical Engineering University of Manchester Institute of Science and Technology 1993

Authors and Affiliations

  • N. F. Doherty
    • 1
  • A. K. Kochhar
    • 2
  1. 1.Loughborough University Business SchoolL.U.T.UK
  2. 2.Manufacturing Division, Dept. of Mech. Eng.UMISTUK

Personalised recommendations