Artificial Intelligence for Transit Railcar Diagnostics
Transportation Research Board, 1994 - Artificial intelligence - 56 pages
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.
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chapter 2 Findings
chapter 3 Application
Additionally AI techniques Annual Corrective Maintenance approach Artificial Intelligence artificial neural networks Auto Train Autotester case-based reasoning Component Lost Component computer vision control system Corrective Maintenance Cost cost model data base Department of Transportation developed diag diagnostic process diagnostic program diagnostic system Diagnostic Techniques electrical electronic Engineering Equipment Type expert system fault isolation Friction Brakes function fuzzy logic heavy rail human expert HVAC implementation improve indicator Indicators/Signals input interface Lost Component Lost Maintenance Cost Reduction maintenance personnel manuals microprocessor Moderate Moderate Module monitor motor MTTR NDFs nostic on-board on-board diagnostic operating PCBs percent performing diagnosis potential Printed Circuit Boards problem propulsion subsystem propulsion system railcar diagnostics railcar subsystems railcar systems Ray Oren relay logic Research Revenue Service Level Schematics sensors specific Test Setup train control transit authorities transit railcar maintenance Vehicle Inoperable Vehicle Level vehicle systems