A marine engineer is often confronted with the problem of repairs/maintenance at sea. However, an advance warning of the impending problem can greatly help in scheduling maintenance more efficiently by storing appropriate spares and positioning suitable expertise. The ability to predict the remaining operational life of marine gas turbine engines is considered as an essential requirement for future generation diagnostic systems. Engine deterioration modeling provides the means to estimate economic implications of engine degradation, essential for operational and logistics planning. This paper presents the development of a performance analysis and advanced engine fault diagnostics model for the Rolls-Royce Intercooled-Recuperated WR-21 gas turbine using Artificial Intelligence techniques. It also shows how these innovative solutions have the potential to influence the maintenance philosophy and optimal composition of crew.
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ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference
June 16–19, 2003
Atlanta, Georgia, USA
Conference Sponsors:
- International Gas Turbine Institute
ISBN:
0-7918-3686-X
PROCEEDINGS PAPER
Managing Maintenance and Operational Availability of Gas Turbine Propelled Naval Ships Through Advanced Engine Fault Diagnostics Available to Purchase
Suresh Sampath,
Suresh Sampath
Cranfield University, Cranfield, Bedfordshire, UK
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Riti Singh
Riti Singh
Cranfield University, Cranfield, Bedfordshire, UK
Search for other works by this author on:
Suresh Sampath
Cranfield University, Cranfield, Bedfordshire, UK
Riti Singh
Cranfield University, Cranfield, Bedfordshire, UK
Paper No:
GT2003-38456, pp. 473-481; 9 pages
Published Online:
February 4, 2009
Citation
Sampath, S, & Singh, R. "Managing Maintenance and Operational Availability of Gas Turbine Propelled Naval Ships Through Advanced Engine Fault Diagnostics." Proceedings of the ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. Volume 3: Turbo Expo 2003. Atlanta, Georgia, USA. June 16–19, 2003. pp. 473-481. ASME. https://doi.org/10.1115/GT2003-38456
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