DELTA: AN EXPERT SYSTEM FOR DIESEL ELECTRIC LOCOMOTIVE REPAIR

In recent years, expert systems have become the most visible and the fastest growing branch of Artificial intelligence. General Electric Company's Corporate Research and Development has applied expert system Technology to the problem of troubleshooting and the repair of diesel electric locomotives in railroad running repair shops. The expert system uses production rules and an inference engine that can diagnose multiple problems with the locomotive and can suggest repair procedures to maintenance personnel. A prototype system has been implemented in FORTH, running on a Digital Equipment PDP 11/23 under RSX-11M. This system contains approximately 530 rules (roughly 330 rules for the Troubleshooting System, and 200 rules for the Help System), partially representing the knowledge of a Senior Field Service Engineer. The inference engine uses a mixed-mode configuration, capable of running in either the forward or backward mode. The Help System can provide the operator with assistance by displaying textual information, CAD diagrams or repair sequences from a video disk. The rules are written in a representation language consisting of nine predicate functions, eight verbs, and five utility functions. The first field prototype expert system, designated was delivered in July 1983 and is currently under field evaluation. (Author)

  • Supplemental Notes:
    • This article is from Artificial Intelligence in Maintenance: Proceedings of the Joint Services Workshop held at Boulder, Colorado on 4-6 October 1983, AD-A145349, p 397-413.
  • Corporate Authors:

    General Electric Corporate Research & Development

    Schenectady, NY  United States 
  • Authors:
    • Bonissone, P P
    • Johnson Jr, H E
  • Publication Date: 1984-6

Media Info

  • Pagination: 17 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00392859
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 29 1985 12:00AM