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The development of an interactive fault diagnosis expert system for telecommunication applications

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Book cover PRICAI'96: Topics in Artificial Intelligence (PRICAI 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1114))

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Abstract

This paper presents work on an interactive fault diagnosis expert system for telecommunication applications. A new knowledge representation and inference algorithm is proposed to suit the characteristics of the application environment, namely: (1) no parallel event exists in human fault reporting, (2) the diagnostic sequence is unpredictable, and (3) the inference engine is passive in an event-driven environment. A lattice data structure is used for knowledge representation, which is generated automatically from a script of decision rules. The inference engine works in a transaction-like style by prompting and responding to the user according to the knowledge in the lattice. It can explicitly guide the inference sequence, as well as respond to ad hoc input from the user.

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References

  • Aho, A. V. Sethi, R. and Ullman, J. D. (1986) Compilers Principles, Techniques and tools, Reading, Mass: Addison-Wesley.

    Google Scholar 

  • Berry, D. C. (1994) Involving users in expert system development, Expert Systems, 11(1), 23–28.

    Google Scholar 

  • Dumas, J. S. (1988) Designing User Interfaces for Software, Prentice Hall.

    Google Scholar 

  • Forgy, C. L. (1982) Rete: a fast algorithm for the many pattern/many object pattern match problem, Artificial Intelligence, 19(1), 17–27.

    Google Scholar 

  • McLaughlin, L. and Christie, R. D. (1994) Are expert system rules really easier to modify?, International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, 2(4), 263–272.

    Google Scholar 

  • Sassen, J. M. A. Buiel, E. F. T. and Hoegee, J. H. (1994) A laboratory evaluation of a human operator support system, International Journal of Human-Computer Studies, 40, 895–931.

    Google Scholar 

  • Suh, C. K. and Suh, E H. (1993) Using human factor guidelines for developing expert systems, Expert Systems, 10(3), 151–156.

    Google Scholar 

  • Vale, A. A. Goncalves, M. J. and Vale, Z. A. (1992) Improving Man-machine interaction in control centres, IEEE Power Engineering Society 1992 Summer Meeting, SM 602-3, USA.

    Google Scholar 

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Norman Foo Randy Goebel

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© 1996 Springer-Verlag Berlin Heidelberg

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Zhao, M., Leckie, C. (1996). The development of an interactive fault diagnosis expert system for telecommunication applications. In: Foo, N., Goebel, R. (eds) PRICAI'96: Topics in Artificial Intelligence. PRICAI 1996. Lecture Notes in Computer Science, vol 1114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61532-6_6

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  • DOI: https://doi.org/10.1007/3-540-61532-6_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61532-3

  • Online ISBN: 978-3-540-68729-0

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