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LNG FPSO 압축기 고장시간 예측 방안에 관한 연구A Study on Estimating the Next Failure Time of a Compressor in LNG FPSO

Other Titles
A Study on Estimating the Next Failure Time of a Compressor in LNG FPSO
Authors
조상제전홍배신종호황호진
Issue Date
2014
Publisher
한국산업경영시스템학회
Keywords
Condition-Based Maintenance; Offshore Plant; LNG FPSO; Compressor; Continuous Time Markov Model
Citation
한국산업경영시스템학회지, v.37, no.4, pp 12 - 23
Pages
12
Journal Title
한국산업경영시스템학회지
Volume
37
Number
4
Start Page
12
End Page
23
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/909
ISSN
2005-0461
Abstract
The O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requires heavy charges and moreefforts than the construction phase, and the occurrence of an accident of an offshore plant causes catastrophic damage. So previousstudies have focused on the development of advanced maintenance system to avoid unexpected failures. Nowadays due to theemerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to gather the status data ofequipment and send health monitoring data to administrator of an offshore plant in a real time way, which leads to havingmuch concern on the condition based maintenance policy. In this study, we have reviewed previous studies associated with CBM(Condition-Based Maintenance) of offshore plants, and introduced an algorithm predicting the next failure time of the compressorwhich is one of essential mechanical devices in LNG FPSO (Liquefied Natural Gas Floating Production Storage and Offloadingvessel). To develop the algorithm, continuous time Markov model is applied based on gathered vibration data.
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