AI-Based Diagnostic Shell

  • R. L. Verma electronics and Radar Development Establishment, Bangalore-560 093
  • S. Oulaganathan electronics and Radar Development Establishment, Bangalore-560 093
  • S. Maya Vidhya R. electronics and Radar Development Establishment, Bangalore-560 093
Keywords: Digital exchange, Moving target indicator

Abstract

This paper datails the design and implementation of an AI-based diagnostic shell. The shell has a user-interface which takes in the complaint and aids the user throughout the consultation. The 'expert knowledge' is acquired and encoded in the form of 'IF-THEN' rules, The control mechanism routes through the rules chaining first backwards to identify a fault and then forwards to confirm it.Explanation facilities have been provided to enable the user query the reason for any question asked, a facility to go back and re-answer any previous question, and a trace and explanation of the path of reasoning.

This shell was developed and first used for the diagnosis of a digital exchange. It was then applied for the fault-finding of the moving target indicator used in the radar.

References

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Narain, Sejari, MYCIN in a logic programming environment, In Compcon, 1984,pp. 192-197.

User Handbook for the Automatic Electronic Switch.

User Handbook for the Moving Target Indicator.

Weics & Kulikuwski, Building Expert Systems.

Winston, Patrik H. & Brown, Richard I-!., Artifical Intelligence : An MITPerspective, 2V, (MIT Press, Cambridge), 1979.

Published
2013-01-01
How to Cite
VermaR., OulaganathanS., & Vidhya R.S. (2013). AI-Based Diagnostic Shell. Defence Science Journal, 39(1), 53-72. https://doi.org/10.14429/dsj.39.4749
Section
General Papers