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http://dx.doi.org/10.7315/CADCAM.2016.111

A Study on Fault Prediction Method in a Pump Tower of LNG FPSO  

Kim, Yongjae (Dept. of Industrial Engineering, Hongik Univ.)
Cho, SangJe (ICT for Sustainable Manufacturing Laboratory (SCI-STI-DK), EPFL)
Jun, Hong-Bae (Dept. of Industrial Engineering, Hongik Univ.)
Ha, Chunghun (Dept. of Industrial Engineering, Hongik Univ.)
Shin, Jongho (Dept. of Design and Human Engineering, UNIST)
Publication Information
Korean Journal of Computational Design and Engineering / v.21, no.2, 2016 , pp. 111-121 More about this Journal
Abstract
The plant equipment usually has a long life cycle. During its O&M (Operation & Maintenance) phase, since the occurrence of an accident of offshore plant equipment causes catastrophic damage, it is necessary to make more efforts for managing critical offshore equipment. Nowadays due to the emerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to gather the health status data of important offshore equipment and their environment data, which leads to much concern on CBM (Condition-Based Maintenance). In this study, we will propose an approach to estimate the remaining lifetime of an offshore plant equipment (pump tower) based on gathered ocean environment data.
Keywords
CBM (Condition based maintenance); LNG FPSO; Pump tower; Remaining life time;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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