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dc.contributor.advisorVatn, Jørn
dc.contributor.advisorPalmer, Christian
dc.contributor.authorFerkingstad, Torleif Mikkelsen
dc.date.accessioned2019-09-11T09:10:20Z
dc.date.created2015-06-10
dc.date.issued2015
dc.identifierntnudaim:13261
dc.identifier.urihttp://hdl.handle.net/11250/2615312
dc.description.abstractApplication and collection of data from maintenance work as a systematic process is paramount for the continuous improvement of any maintenance program. Teekay Petrojarl, the world s largest FPSO operator, is working to improve their maintenance reporting system. The aim of this thesis is to direct Teekay Petrojarl towards the best practice for collection and use of maintenance data. In relation to estimation of parameters for maintenance optimisation, there are not many that discuss the applicability of data in the literature Nevertheless, a suggestion for structuring of the data is presented. The study also presents suggestions for which data that need to be collected from preventive and corrective maintenance. A lifetime model, Weibull, and two degradation models, Markov and the P-F model, are presented and reviewed. These can be used to estimate parameters for maintenance optimisation, given that the company can support with the right data in a structured way. Challenges with using maintenance data for these models are also introduced. The status of the reporting system in Teekay Petrojarl is also evaluated. Teekay Petrojarl has worked to implement new categories to be used for failure reporting, but have not started to use them yet. The evaluation reveals several weaknesses in the current system. Most of the existing data from the past 20 years is deemed unusable for estimation of the parameters needed to perform maintenance optimisation. The computerised maintenance management is in addition not very flexible, which makes it a challenge to change the maintenance reporting forms. Lastly, measures to achieve best practice are presented and discussed. Reliability centred maintenance analyses are suggested to be done for the equipment on the vessels. These analyses will aid to map the important maintainable items and their failure modes. These measures are extensive and will likely be costly, if they are prioritised. Further work for Teekay Petrojarl is suggested in order to aid the development of the maintenance reporting system.en
dc.languageeng
dc.publisherNTNU
dc.subjectProduktutvikling og produksjon, Produksjons- og kvalitetsteknikken
dc.titleUse of Maintenance Data from Periodic Intervals for Maintenance Optimisationen
dc.typeMaster thesisen
dc.source.pagenumber63
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap,Institutt for maskinteknikk og produksjonnb_NO
dc.date.embargoenddate10000-01-01


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