Artificial Intelligence for Transit Railcar Diagnostics
mode - rail, mode - car
Artificial Intelligence for Transit Railcar Diagnostics 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.
Permission to link to report given by TRB
Mulholland, I.P., & Oren, R.A. (1994). Artificial Intelligence for Transit Railcar Diagnostics. Transit Coopertive Research Program (TCRP) Report 1, published by Transportation Research Board, Washington.