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http://dx.doi.org/10.7315/CADCAM.2014.203

A Study on Estimating the Next Failure Time of LNG FPSO Compressor  

Cho, Sang-Jae (Department of Industrial Engineering, Hongik University)
Jun, Hong-Bae (Department of Industrial Engineering, Hongik University)
Shin, Jong-Ho (Department of Design and Human Engineering, UNIST)
Choi, Sang-Deok (Seok-Young SYSTEMS)
Publication Information
Korean Journal of Computational Design and Engineering / v.19, no.3, 2014 , pp. 203-213 More about this Journal
Abstract
The O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requires heavy charges and more efforts than the construction phase, and the occurrence of an accident of an offshore plant causes catastrophic damage. So previous studies have focused on design for reliability, and recently many studies have dealt with a maintenance system to prevent unexpected failures. Nowadays due to the emerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to send health monitoring information of important equipment to administrator of an offshore plant in real time, which leads to having much concern on condition based maintenance policy or predictive maintenance. In this study, we have reviewed previous studies associated with condition-based maintenance of offshore plants, and introduced the approaches predicting failures of the compressor which is one of essential mechanical devices in LNG FPSO.
Keywords
Condition-based maintenance; LNG FPSO compressor; Offshore plant; Prognosis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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