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dc.contributor.authorFalconer, Shaun
dc.contributor.authorNordgård-Hansen, Ellen Marie
dc.contributor.authorGrasmo, Geir
dc.date.accessioned2023-06-01T07:45:11Z
dc.date.available2023-06-01T07:45:11Z
dc.date.created2020-09-18T08:03:16Z
dc.date.issued2020
dc.identifier.citationFalconer, S., Nordgård-Hansen, E. M. & Grasmo, G. (2020). Computer vision and thermal monitoring of HMPE fibre rope condition during CBOS testing. Applied Ocean Research, 102, 1-13. doi:en_US
dc.identifier.issn0141-1187
dc.identifier.urihttps://hdl.handle.net/11250/3069578
dc.description.abstractFibre rope usage in deep sea lifting operations is gaining more prominence in recent times. With rope minimum break loads (MBL) comparable to that of their steel wire counterparts, the use of high modulus polyethylene (HMPE) ropes is seen as a viable option for use in subsea construction cranes. The ropes are worn out during use and visual inspection remains one of the main methods of determining whether a fibre rope is to be retired from use, therefore a natural extension is condition monitoring through computer vision. Creep and temperature are constraining with HMPE ropes and should be monitored continuously, particularly when the rope is cyclically bent over sheaves. Additionally, interpreting the thermal history of the rope during use could give insight into deterioration. In this paper, a condition monitoring system based on combined computer vision and thermal monitoring is used during cyclic bend over sheave tests performed on 560 kN break load of 12 strand braided HMPE ropes. New monitoring features such as local length and width through computer vision algorithms combined with surface thermal monitoring and global elongation are presented and their effectiveness as condition monitoring features is assessed.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleComputer vision and thermal monitoring of HMPE fibre rope condition during CBOS testingen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© 2020 The Author(s)en_US
dc.subject.nsiVDP::Teknologi: 500en_US
dc.source.pagenumber13en_US
dc.source.volume102en_US
dc.source.journalApplied Ocean Researchen_US
dc.identifier.doi10.1016/j.apor.2020.102248
dc.identifier.cristin1831038
dc.relation.projectNorges forskningsråd: 237896en_US
dc.source.articlenumber102248en_US
cristin.qualitycode1


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