DEMONSTRATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY FOR TRANSIT RAILCAR DIAGNOSTICS

This report will be of interest to railcar maintenance professionals concerned with improving railcar maintenance fault-diagnostic capabilities through the use of artificial intelligence (AI) technologies. The report documents the results of a demonstration of an AI-based program that acts as a "diagnostic assistant" for transit railcar propulsion systems. The diagnostic program uses a hybrid AI approach with both model-based reasoning and expert system rules. The AI tool was tested at the Washington Metropolitan Area Transit Authority (WMATA) on direct current chopper propulsion systems of the 3000 series railcars. The system was determined to be easy to use and effective in diagnosing propulsion system faults.

• Record URL:
  • http://onlinepubs.trb.org/onlinepubs/tcrp/tcrp_rpt_44.pdf
• 
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0309063183
• Supplemental Notes:
  • Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001

  Anstec, Incorporated

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  McLean, VA  United States  22102
• Authors:
  • Mulholland, I
  • Kahric, Z
• Publication Date: 1999

Language

• English

Media Info

• Features: Appendices; Figures; Tables;
• Pagination: 82 p.
• Serial:
  • TCRP Report
  • Issue Number: 44
  • Publisher: Transportation Research Board
  • ISSN: 1073-4872

Subject/Index Terms

• TRT Terms: Artificial intelligence; Demonstration projects; Diagnostic tests; Rapid transit cars
• Identifier Terms: Washington Metropolitan Area Transit Authority
• Uncontrolled Terms: Propulsion systems
• Subject Areas: Highways; Maintenance and Preservation; Public Transportation;

Filing Info

• Accession Number: 00760533
• Record Type: Publication
• ISBN: 0309063183
• Report/Paper Numbers: Project E-02A FY '96
• Files: TRIS, TRB, ATRI
• Created Date: Mar 23 1999 12:00AM