Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

해양플랜트 LNG FPSO 압축기의 신뢰성 및 회귀분석 기반고장시점 추정 방법

Full metadata record
DC Field Value Language
dc.contributor.author조상제-
dc.contributor.author전홍배-
dc.contributor.author신종호-
dc.contributor.author최상덕-
dc.date.accessioned2021-11-25T03:42:01Z-
dc.date.available2021-11-25T03:42:01Z-
dc.date.created2021-11-23-
dc.date.issued2014-
dc.identifier.urihttps://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/18319-
dc.description.abstractThe O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requiresheavy charges and more efforts than the construction phase, and the occurrence of an accidentof an offshore plant causes catastrophic damage. So previous studies have focused on design forreliability, and recently many studies have dealt with a maintenance system to prevent unexpectedfailures. Nowadays due to the emerging ICTs (Information Communication Technologies)and sensor technologies, it is possible to send health monitoring information of importantequipment to administrator of an offshore plant in real time, which leads to having much concernon condition based maintenance policy or predictive maintenance. In this study, we havereviewed previous studies associated with condition-based maintenance of offshore plants, andintroduced the approaches predicting failures of the compressor which is one of essentialmechanical devices in LNG FPSO.-
dc.language한국어-
dc.language.isoko-
dc.publisher한국CDE학회-
dc.title해양플랜트 LNG FPSO 압축기의 신뢰성 및 회귀분석 기반고장시점 추정 방법-
dc.title.alternativeA Study on Estimating the Next Failure Time of LNG FPSO Compressor-
dc.typeArticle-
dc.contributor.affiliatedAuthor전홍배-
dc.identifier.doi10.7315/CADCAM.2014.203-
dc.identifier.bibliographicCitation한국CDE학회 논문집, v.19, no.3, pp.203 - 213-
dc.relation.isPartOf한국CDE학회 논문집-
dc.citation.title한국CDE학회 논문집-
dc.citation.volume19-
dc.citation.number3-
dc.citation.startPage203-
dc.citation.endPage213-
dc.type.rimsART-
dc.identifier.kciidART001903303-
dc.description.journalClass3-
dc.subject.keywordAuthorCondition-based maintenance-
dc.subject.keywordAuthorLNG FPSO compressor-
dc.subject.keywordAuthorOffshore plant-
dc.subject.keywordAuthorPrognosis-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Industrial and Data Engineering > Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jun, Hong Bae photo

Jun, Hong Bae
Engineering (Department of Industrial and Data Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE