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

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 th...

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Bibliographic Details
Published in:Mathematical problems in engineering 2016-01, Vol.2016 (2016), p.1-14
Main Authors: Ha, Chunghun, Hwang, Ho-Jin, Jun, Hong Bae, Shin, Jong-Ho, Cho, SangJe, Hwang, Jinsang
Format: Article
Language:English
Subjects:
Accident prediction
Breakdowns
Communications equipment
Condition monitoring
Experiments
Failure
Failure times
Gas compressors
Industrial engineering
Life cycle assessment
Maintenance
Maintenance management
Markov analysis
Markov chains
Markov models
Mathematical analysis
Mathematical models
Mathematical problems
Methods
Natural gas
Offshore engineering
Predictive maintenance
Preventive maintenance
Regression
Regression analysis
Regression models
Repair & maintenance
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Summary: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.
ISSN:1024-123X
1563-5147
DOI:10.1155/2016/8705796