CIRCUIT DIAGNOSIS USING CONSTRAINT PROPAGATION

One of the most outstanding features of applied AI would be the development of a large number of expert systems. In the field of troubleshooting, a lot of expert systems have been made so far. We made a research aiming to build a diagnostic system that can cope with the troubles occurring in the newly-introduced railway signaling systems such as electronic token systems and electronic interlocking systems. We adopted a model-based approach using the technique of constraint propagation. This is due to our observation that traditional expert systems, which heavily rely on the knowledge acquired from human experts, would not be suitable for those areas where few expertise is available. The report contains a detailed account of the prototype system we have developed and some comments about the possible improvements and extensions of it.

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  • Corporate Authors:

    JAPANESE NATIONAL RAILWAYS

    TOKYO,   Japan 
  • Authors:
    • Tsuchiya, R
    • Ogino, T
  • Publication Date: 1989-5

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Filing Info

  • Accession Number: 00486600
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 31 1989 12:00AM