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dc.contributor.authorPerera, Lokukaluge Prasad
dc.contributor.authorMachado, Mario M.
dc.contributor.authorValland, Anders
dc.contributor.authorManguinho, Diego A.P.
dc.date.accessioned2019-02-22T09:05:13Z
dc.date.available2019-02-22T09:05:13Z
dc.date.created2019-01-17T13:58:46Z
dc.date.issued2019-03
dc.identifier.citationEngineering Failure Analysis. 2019, 97 434-453.nb_NO
dc.identifier.issn1350-6307
dc.identifier.urihttp://hdl.handle.net/11250/2586930
dc.identifier.uri
dc.description.abstractSystem reliability of an offshore power plant with several gas turbine engines is analyzed in this study to understand the failure intensity of a selected gas turbine engines under varying maintenance activities. A set of event data of a selected gas turbine engine is considered to identify system failure intensity levels, where unknown maintenance actions were implemented (i.e. various repairs disturb the failure rate). A non-homogeneous Poisson process (NHPP) is used to model the age dependent failure intensity of the same gas turbine engine and the maximum likelihood estimation (MLE) approach for calculating the respective model parameters is proposed. Several failure intensity rates (i.e. varying failure trends) in these models (i.e. during the system age of the gas turbine engine) are observed. Furthermore, these varying failure trend models are evaluated with actual failure events of the same gas turbine engine by considering two goodness-of-fit tests: Cramer-von Mises and Chi-square tests. Finally, system reliability of the gas turbine engine under the failure transition, failure intensity, mission reliability and mean time between failures (MTBF) is also discussed in this study.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no
dc.subjectSystem reliabilitynb_NO
dc.subjectFailure ratesnb_NO
dc.subjectFailure intensitynb_NO
dc.subjectGas turbine enginesnb_NO
dc.subjectNonhomogeneous Poisson processnb_NO
dc.titleFailure intensity of offshore power plants under varying maintenance policiesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionsubmittedVersionnb_NO
dc.source.pagenumber434-453nb_NO
dc.source.volume97nb_NO
dc.source.journalEngineering Failure Analysisnb_NO
dc.identifier.doi10.1016/j.engfailanal.2019.01.011
dc.identifier.cristin1659429
dc.rights.license
cristin.unitcode7566,7,0,0
cristin.unitnameEnergi og transport
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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