Development Of An Expert System For Diagnosing Component-Level Failures In A Shuttle Car

Thomas Novak, James R. Meigs, Richard L. Sanford

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


The development of a rule-based expert system (SCAR) for assisting electricians in diagnosing electrical faults in a shuttle car is discussed. Insight 2 +, a microcomputer-based expert-system development tool by Level Five Research, Inc. was used in creating the system. The program requires the user to specify the initial symptoms of the failed machine, and the most probable cause of failure is traced through the knowledge base, with the software requesting additional information, such as voltage or resistance measurements, as needed. A causal-reasoning approach, which was used to develop the production rules, is described. The organization, implementation, and limitations of the knowledge base are also presented, along with a brief discussion of the ongoing development of a new system, SCAR.2.

Original languageEnglish
Pages (from-to)691-698
Number of pages8
JournalIEEE Transactions on Industry Applications
Issue number4
StatePublished - 1989

Bibliographical note

Funding Information:
Paper PID 88-02, approved by the Mining Industry Committee of the IEEE Industry Applications Society for presentation at the 1988 Industry Applications Society Annual Meeting, Pittsburgh, PA, October 2-6. This work supported by the School of Mines and Energy Development at the University of Alabama and the U.S. Department of the Interior Mineral Institute Program, administered by the Bureau of Mines, through the Generic Mineral Center, Mine Systems Design and Ground Control under subcontract CR-4226-379237-2. Manuscript released for publication January 10, 1988.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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