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Artificial Intelligence Technology for Transit Railcar Diagnostics
Artificial Intelligence Technology for Transit Railcar Diagnostics
Report Number: R-001
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.

Related Products:
  • TCRP Report 01-A (Chapters 1-4)
  • TCRP Report 01-B (Appendices)

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