Design methodology for self-maintenance machines

  • Yasushi Umeda
  • Tetsuo Tomiyama
  • Tomohiko Sakao
  • Yoshiki Shimomura
Part of the Manufacturing Systems Engineering Series book series (MSES, volume 5)

Abstract

This chapter describes a design methodology for self-maintenance machines. The self-maintenance machine is a machine that can maintain its functions for a while, even though faults happen. In contrast, a traditional machine may not work at all in such a case. The self-maintenance feature increases the availability of the machine, improves the fault-tolerance, and reduces the maintenance costs. For instance it may reduce sudden, unscheduled maintenance. We illustrate the concepts, reasoning methods, and practical examples of self-maintenance machines. First, we discuss the concept of functional maintenance that includes two types of self-maintenance strategies, i.e. control type and function redundant type. Second, a model-based approach that employs qualitative physics is proposed, as the reasoning technique. Third, we illustrate two examples of self-maintenance machines that we have developed; namely, a commercial photocopier with the control-type self-maintenance capability and a prototype of the function-redundant self-maintenance photocopier.

Keywords

Halogen 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. [1]
    Lockner, A., and Hancock, P.D. (1990) Redundancy in fault tolerant systems. CIME Mechanical Engineering, May, 76–83.Google Scholar
  2. [2]
    Umeda, Y., Tomiyama, T., and Yoshikawa, H. (1992) A design methodology for self-maintenance machines based on functional redundancy, in Proceedings of Design Theory and Methodology (DTM’92), Taylor, D.L., and Stauffer, L.A., eds, DE - Vol. 42, ASME, 317–24.Google Scholar
  3. [3]
    Tomiyama, T. and Umeda, Y. (1993) A CAD for functional design. Annals of CIRP, 43(1), 143–6.CrossRefGoogle Scholar
  4. [4]
    Umeda, Y., Tomiyama, T., Yoshikawa, H. and Shimomura, Y. (1994) Using functional maintenance to improve fault tolerance. IEEE Expert, Intelligent Systems & Their Applications, 2(3), 25–31.Google Scholar
  5. [5]
    Umeda, Y., Tomiyama, T., and Yoshikawa, H. (1995) A design methodology for self-maintenance machines. Journal of Mechanical Design, ASME, 117(3), 355–62.CrossRefGoogle Scholar
  6. [6]
    Winston, H.A., and Clark, R.T. (1994) AGETS MBR: an application of model-based reasoning to gas turbine diagnostics. Proceedings of the Seventh Innovative Applications of Artificial Intelligence Conference, AAAI, 181–9.Google Scholar
  7. [7]
    Weld, D., and de Kleer, J. (1989) Readings in Qualitative Reasoning about Physical Systems, Morgan-Kaufmann, San Mateo, CA.Google Scholar
  8. [8]
    de Kleer, J., and Brown, J.S. (1984) A qualitative physics based on confluences. Artificial Intelligence, 24, 7–83.CrossRefGoogle Scholar
  9. [9]
    Forbus, K. (1984) Qualitative process theory. Artificial Intelligence, 24, 85–168.CrossRefGoogle Scholar
  10. [10]
    Genesereth, M.R. (1984) The use of design descriptions in automated diagnosis. Artificial Intelligence, Vol. 24(1–3), 411–36.CrossRefGoogle Scholar
  11. [11]
    Kuipers, B. (1986) Qualitative simulation. Artificial Intelligence, 29(3), 289–338.MathSciNetMATHCrossRefGoogle Scholar
  12. [12]
    Shimomura, Y., Tanigawa, S., Umeda, Y., and Tomiyama, T. (1995) Development of self-maintenance photocopiers. AI Magazine, 16(4) 41–53.Google Scholar
  13. [13]
    Zadeh, L.A. (1965) Fuzzy sets. Information Control, 8,338–53.MathSciNetMATHCrossRefGoogle Scholar
  14. [14]
    Sakao, T., Umeda, Y., and Tomiyama, T. (1996) Model-based automatic generation of sequence control programs from design information. Proceedings of The Tenth International Workshop on Qualitative Reasoning, Farquhar, A., and Iwasaki, Y., eds, Technical Report WS-96–01, AAAI Press, Menlo Park, CA, 206–15.Google Scholar
  15. [15]
    Sakao, T., Kandoh, S., Umeda, Y., and Tomiyama, T. (1996) The development of a cellular automatic warehouse. Proceedings of IEEE/RSJ International Conference on Robotics and Systems (IROS’96), IEEE, 324–31.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • Yasushi Umeda
  • Tetsuo Tomiyama
  • Tomohiko Sakao
  • Yoshiki Shimomura

There are no affiliations available

Personalised recommendations