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dc.contributor.authorVerheyleweghen, Adriaen
dc.contributor.authorJaeschke, Johannes
dc.date.accessioned2018-01-31T14:22:43Z
dc.date.available2018-01-31T14:22:43Z
dc.date.created2018-01-15T22:01:17Z
dc.date.issued2017
dc.identifier.citationIFAC-PapersOnLine. 2017, 50 (1), 15916-15921.nb_NO
dc.identifier.issn2405-8963
dc.identifier.urihttp://hdl.handle.net/11250/2481055
dc.description.abstractThe efficient and safe operation of subsea gas and oil production systems sets strict requirements to equipment reliability to avoid unplanned breakdowns and costly maintenance interventions. Because of this, condition monitoring is employed to assess the status of the system in real-time. However, the condition of the system is usually not considered explicitly when finding the optimal operation strategy. Instead, operational constraints on flow rates, pressures etc., based on worst-case scenarios, are imposed. This can lead to unnecessarily restrained operation and significant economic losses. To avoid sub-optimal operation, we propose to integrate diagnostics and prognostics with the optimal decision making process for operation to obtain an operational strategy which is optimal subject to the expected system degradation. This allows us to proactively steer the system degradation, rather than simply reacting to it. We use the operation of a subsea gas compressor subject to bearing degradation as a case example.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.titleFramework for Combined Diagnostics, Prognostics and Optimal Operation of a Subsea Gas Compression Systemnb_NO
dc.typeJournal articlenb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber15916-15921nb_NO
dc.source.volume50nb_NO
dc.source.journalIFAC-PapersOnLinenb_NO
dc.source.issue1nb_NO
dc.identifier.doihttps://doi.org/10.1016/j.ifacol.2017.08.2365
dc.identifier.cristin1543567
dc.description.localcodeThis is a submitted manuscript of an article published by Elsevier Ltd in IFAC-PapersOnLine, 18 October 2017.nb_NO
cristin.unitcode194,66,30,0
cristin.unitnameInstitutt for kjemisk prosessteknologi
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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