EXPERT SYSTEM FOR DIESEL ENGINE MAINTENANCE. VOLUME 1. FINAL REPORT; REPT. FOR MAY 87-SEP 92
The report describes the results of a project involving the development of an expert diagnostic system for marine diesel engines. The purpose of the project was to develop a practical expert system aboard a modern, automated diesel-powered vessel to assist maintenance personnel in diagnosing existing engine failures and predicting future faults. Research activities involved developing robust diagnostic and automated reasoning techniques based on recent advancements in the field of expert systems. Alternative diagnostic reasoning techniques, such as rulebased inferencing, neural networks, structural and behavioral models, and probabilistic techniques, were investigated before settling on a final design involving probabilistic neural networks. Prototype systems were placed into operation aboard four large containerships powered by two-stroke, slow-speed diesel engines. The system configuration included data acquisition interfaces to existing engine monitoring and combustion analysis systems, as well as operation on a shipboard local area network.
- Prepared in cooperation with MACSEA Ltd., Stonington, CT. Sponsored by Maritime Administration, Washington, DC. Office of Technology Assessment.
American President Lines1111 Broadway
Oakland, CA United States 94607
MACSEA Limited163 Water Street
Stonington, CT United States 06378
Maritime Administration1200 New Jersey Avenue, SE
Washington, DC United States 20590
- Logan, K P
- Publication Date: 1992-9
- Pagination: 86 p.
- TRT Terms: Data collection; Diesel engines; Engines; Expert systems; Maintenance; Maintenance management; Marine diesel engines; Mechanical failure; Merchant vessels; Neural networks; Ships
- Uncontrolled Terms: Engine failure; Merchant ships
- Old TRIS Terms: Engine analyzers; Engine monitoring instruments; Neural nets
- Subject Areas: Maintenance and Preservation; Marine Transportation; Vehicles and Equipment;
- Accession Number: 00666589
- Record Type: Publication
- Source Agency: National Technical Information Service
- Report/Paper Numbers: MA-RD-840-92002
- Files: TRIS, USDOT
- Created Date: Oct 3 1994 12:00AM