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

Author:

Cho SangJe1,Shin Jong-Ho2,Jun Hong-Bae3ORCID,Hwang Ho-Jin4,Ha Chunghun3,Hwang Jinsang5

Affiliation:

1. Department of Mechanical Engineering, EPFL (SCI-STI-DK), Lausanne, Switzerland

2. Department of Industrial Engineering, Chosun University, Kwangju, Republic of Korea

3. Department of Industrial Engineering, Hongik University, Seoul, Republic of Korea

4. Korea Research Institute of Ships and Ocean Engineering, Daejeon, Republic of Korea

5. PartDB Co., Daejeon, Republic of Korea

Abstract

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.

Funder

Korea Evaluation Institute of Industrial Technology

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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