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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 8705796, 14 pages
Research Article

A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant

1Department of Mechanical Engineering, EPFL (SCI-STI-DK), Lausanne, Switzerland
2Department of Industrial Engineering, Chosun University, Kwangju, Republic of Korea
3Department of Industrial Engineering, Hongik University, Seoul, Republic of Korea
4Korea Research Institute of Ships and Ocean Engineering, Daejeon, Republic of Korea
5PartDB Co., Daejeon, Republic of Korea

Received 23 June 2016; Accepted 3 October 2016

Academic Editor: Inmaculada T. Castro

Copyright © 2016 SangJe Cho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The offshore plant equipment usually has a long life cycle. During its O&M (Operation and Maintenance) phase, since the accidental occurrence 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), it is possible to send health monitoring information to administrator of an offshore plant, which leads to much concern on CBM (Condition-Based Maintenance). This study introduces three approaches for predicting the next failure time of offshore plant equipment (gas compressor) with case studies, which are based on finite state continuous time Markov model, linear regression method, and their hybrid model.