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http://dx.doi.org/10.6108/KSPE.2019.23.4.098

Integrity Prediction Model of Data-driven Diesel Generator for Naval Vessels  

Kim, Dongjin (Naval R&D Center, Hanwha Systems)
Shim, Jaesoon (Naval R&D Center, Hanwha Systems)
Kim, Mingon (Naval R&D Center, Hanwha Systems)
Publication Information
Journal of the Korean Society of Propulsion Engineers / v.23, no.4, 2019 , pp. 98-103 More about this Journal
Abstract
Integrity prediction of the operation equipment of naval vessels is essential to maintain the efficiency of the operation performance in urgent situations. Recently, the integrated condition assessment system(ICAS) was introduced and maintained to improve operational performance. This technology is related with ICAS, and it must be localized through extensive research. In this paper, we present the results of applying the data-driven model to the predictability methods of diesel generators, which are naval vessel operation equipment.
Keywords
CBM(Condition Based Maintenance); SFOC(Specific Fuel Oil Consumption); ICAS(Integrated Condition Assessment System); DG(Diesel Generator);
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Times Cited By KSCI : 1  (Citation Analysis)
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