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    Demonstration of Artificial Intelligence Technology for Transit Railcar Diagnostics

    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. It documents the results of a demonstration of an AI-based program that acts as a 'diagnostic assistant' from 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.

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    Titel :

    Demonstration of Artificial Intelligence Technology for Transit Railcar Diagnostics

    Beteiligte:
    I. Mulholland (Autor:in) / Z. Kahric (Autor:in)
    Erscheinungsdatum :

    1999

    Format / Umfang :

    88 pages

    ISBN :

    0-309-06318-3

    Medientyp :

    Report

    Format :

    Keine Angabe

    Sprache :

    Englisch

    Schlagwörter :

    Fuel & Propellant Tanks , Rapid transit systems , Railroad cars , Artificial intelligence , Electrical faults , Diagnostic routines , Electric propulsion , Maintenance , Foreign technology , District of Columbia , WMATA(Washington Metropolitan Area Transit Authority)

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