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Expert Systems for Engineering Diagnosis: Styles, Requirements for Tools, and Adaptability

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Knowledge-Based System Diagnosis, Supervision, and Control

Part of the book series: Applied Information Technology ((AITE))

Abstract

Diagnosis seems a natural area for the application of expert systems. A diagnostic problem is often considered a challenge to engineers. They must exercise their intelligence to solve such a complicated puzzle. In solving a diagnostic problem, one must first observe and then try to locate possible failures by proper reasoning. The reasoning can be either empirical (by using accumulated experience) or functional (by using knowledge about system components and organization). Depending on the complexity of systems, their fault diagnosis can be quite complicated and time-consuming. Conventional methods do not seem suitable for sophisticated diagnostic problems. But expert systems can be quite effective in tackling a wide spectrum of diagnostic situations.

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References

  1. B. G. Buchanan and E. H. Shortiffe (eds), Rule-Based Expert Systems: the MYCIN Experiments of the Stanford Heuristic Programming Project, Addison-Wesley, Reading, Mass. (1984).

    Google Scholar 

  2. A. van Melle, System Aids in Constructing Consultation Programs, UMI Research Press, Ann Arbor, MI (1981).

    Google Scholar 

  3. M. F. M. Tenorio and D. I. Moldovan, Mapping Production Systems into Multiprocessors, Proc. Int. Conf. Parallel Processing, pp. 56-62 (1985).

    Google Scholar 

  4. H. Erhig, Introduction of Algebraic Theory of Graph Grammars, LNCS Vol. 73, Springer-Verlag (1978).

    Google Scholar 

  5. B. C. Williams, Qualitative Analysis of MOS Circuits, Artificial Inteligence, 24, pp. 281–346 (1984).

    Article  Google Scholar 

  6. R. Davis, Diagnostic Reasoning Based on Structure and Behavior, Artificial Intelligence 24, pp. 347–410 (1984).

    Article  Google Scholar 

  7. R. Reiter, A Theory of Diagnosis From First Principle, Artificial Intelligence, 32, pp. 57–95 (1987).

    Article  MathSciNet  MATH  Google Scholar 

  8. J. de Kleer and B. C. Williams, Diagnosing Multiple Faults, Artificial Intelligence, 32, pp. 97–130 (1987).

    Article  MATH  Google Scholar 

  9. Y. Peng and J. A. Reggia, Plausibility of Diagnostic Hypotheses: the Nature of Simplicity, Proc. AAAI-86, Philadelphia, P.A., pp. 140-145 (1986).

    Google Scholar 

  10. M. Abramovici and M. A. Breuer, Multiple Fault Diagnosis in Combinational Circuits based on An Effect-Cause Analysis, IEEE Trans. Comput. Vol. C-29, No. 6, pp. 451–460 (June 1980).

    Article  MathSciNet  Google Scholar 

  11. D. C. Bossen and S. J. Hong, Cause-Effect Analysis for Multiple Fault Detection in Combinational Networks, IEEE Trans. Comput., Vol. C-20, No. 11, pp. 1252 (Nov. 1971).

    Article  Google Scholar 

  12. H. Pople, Heuristic methods for imposing structure on ill-structured problems: The structuring of medical diagnosis, In P. Szolovitz, ed., Artificial Intelligence in modicine. Boulder Colo: Westview Press, pp. 119–185 (1981).

    Google Scholar 

  13. J. A. Reggia, D. S. Nau and P. Y. Wang, Diagnostic Expert Systems based on A Set Covering Model, Int. Journal Man-Machine Studies, 19, pp. 437–460 (1983).

    Article  Google Scholar 

  14. T. Li and L. Y. Fang, Twoway diagnosis in traditional Chinese medicine, Proc. 3rd Internat. Conf. Applications of Artificial Intelligence, Orlando FL, pp. 937-945 (April 1986).

    Google Scholar 

  15. V. Dhar and H. E. Pople, Rule-based versus Structure-based Models for Explaining and Generating Expert Behavior, Commun. ACM, Vol. 30, No. 6, pp. 542–555 (June 1987).

    Article  Google Scholar 

  16. T. Li, “CODAR: A General Purpose Design Tool for Rule-based Engineering Expert Systems”, Journal of Artificial Intelligence in Engrg., (1987).

    Google Scholar 

  17. W. Burks, Peirce’s Theory of Adbuction, Philosophy of Science, 13, pp. 301–306 (1946).

    Article  Google Scholar 

  18. W. Burks, Chance, Cause, Reason, University of Chicago Press, Chicago, IL, (1977).

    MATH  Google Scholar 

  19. E. Charniak and D. McDermott, Introduction to Artificial Intelligence, Chapter 8, Addison-Wesley, Reading, Mass. (1985).

    Google Scholar 

  20. J. A. Reggia, Abductive Inference, Proc. Expert Systems in Government Symp., McLean Virginia: IEEE Computer Soci. Press, pp. 484-487 (1985).

    Google Scholar 

  21. A. Goldberg and I. Pohl, Is Complexity Theory of Use to AI?, Artificial and Human intelligence (edited review papers of Internat. NATO Symp. Artificial and Human Intelligence Lyon France), edited by A. Elithorn and R. Banerji, North-Holland, pp. 43-56 (1984).

    Google Scholar 

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© 1989 Springer Science+Business Media New York

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Li, T. (1989). Expert Systems for Engineering Diagnosis: Styles, Requirements for Tools, and Adaptability. In: Tzafestas, S.G. (eds) Knowledge-Based System Diagnosis, Supervision, and Control. Applied Information Technology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-2471-1_3

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  • DOI: https://doi.org/10.1007/978-1-4899-2471-1_3

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-2473-5

  • Online ISBN: 978-1-4899-2471-1

  • eBook Packages: Springer Book Archive

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