![](/images/graphics-bg.png)
A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant
Joint Authors
Jun, Hong Bae
Cho, SangJe
Shin, Jong-Ho
Hwang, Ho-Jin
Ha, Chunghun
Hwang, Jinsang
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-27
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Cho, SangJe& Shin, Jong-Ho& Jun, Hong Bae& Hwang, Ho-Jin& Ha, Chunghun& Hwang, Jinsang. 2016. A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112754
Modern Language Association (MLA)
Cho, SangJe…[et al.]. A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant. Mathematical Problems in Engineering No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1112754
American Medical Association (AMA)
Cho, SangJe& Shin, Jong-Ho& Jun, Hong Bae& Hwang, Ho-Jin& Ha, Chunghun& Hwang, Jinsang. A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1112754
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112754