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

Civil Engineering

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