LNG FPSO 압축기 고장시간 예측 방안에 관한 연구

• 영문명: A Study on Estimating the Next Failure Time of a Compressor in LNG FPSO
• 발행기관: 한국산업경영시스템학회
• 저자명: 조상제(Sang Je Cho) 전홍배(Hong Bae Jun) 신종호(Jong Ho Shin) 황호진(Ho Jin Hwang)
• 간행물 정보: 『산업경영시스템학회지』제37권 제4호, 12~23쪽, 전체 11쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2014.12.31

영문 초록

The O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requires heavy charges and more efforts than the construction phase, and the occurrence of an accident of an offshore plant causes catastrophic damage. So previous studies have focused on the development of advanced maintenance system to avoid unexpected failures. Nowadays due to the emerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to gather the status data of equipment and send health monitoring data to administrator of an offshore plant in a real time way, which leads to having much concern on the condition based maintenance policy. In this study, we have reviewed previous studies associated with CBM (Condition-Based Maintenance) of offshore plants, and introduced an algorithm predicting the next failure time of the compressor which is one of essential mechanical devices in LNG FPSO (Liquefied Natural Gas Floating Production Storage and Offloading vessel). To develop the algorithm, continuous time Markov model is applied based on gathered vibration data.

목차

Abstract

1. 서론

2. 기존 연구

3. 문제 정의

4. Case Study

5. 결론

References

키워드

Condition-Based Maintenance Offshore Plant LNG FPSO Compressor Continuous Time Markov Model