Artificial Intelligence for Transit Railcar Diagnostics

Artificial Intelligence for Transit Railcar Diagnostics

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This report documents and presents the results of a study to determine the feasibility of applying Artificial Intelligence (AI) techniques to the diagnosis of transit railcars. The AI techniques investigated were expert systems, case-based reasoning, model-based reasoning, artificial neural networks, computer vision, fuzzy logic, and a procedural knowledge-based system. Site surveys were conducted at transit railcar maintenance facilities and at railcar subsystem suppliers. The site surveys gathered information about current and future diagnostic and maintenance practices, possible barriers to implementing advanced AI technology, and maintenance cost data. An economic analysis was performed to provide an estimate of cost savings expected by reducing the diagnostic effort.Equipment Type Motor alternators are used to provide 1 1 5 or 230 Vac; static inverters are replacing motor ... Portable electrical test equipment, schematics, wiring diagrams, and shop manuals are used to isolate faults to a component or PCB.


Title:Artificial Intelligence for Transit Railcar Diagnostics
Author: Ian P. Mulholland, Raymond A. Oren
Publisher:Transportation Research Board - 1994
ISBN-13:

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