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dc.contributor.authorSauder, Thomas Michel
dc.contributor.authorMaincon, Philippe Emmanuel
dc.contributor.authorLone, Erling Neerland
dc.contributor.authorLeira, Bernt Johan
dc.date.accessioned2022-11-21T08:27:11Z
dc.date.available2022-11-21T08:27:11Z
dc.date.created2022-10-31T12:24:02Z
dc.date.issued2022
dc.identifier.citationMarine Structures. 2022, 86, 1-18.en_US
dc.identifier.issn0951-8339
dc.identifier.urihttps://hdl.handle.net/11250/3033035
dc.description.abstractThe paper describes a sensor fusion method that provides reliable, uninterrupted and bias-free estimates of the top tension in a mooring line. The method exploits the geometric nonlinearity of mooring systems installed in shallow to moderate water depths: a change of line length (due to winching) affects the local dynamic stiffness of the mooring line. Based on measurements of fairlead displacements and of the dynamic part of the top tension, the line length and true (unbiased) mean tension can be inferred. The method combines the use of (1) a classical kinematic observer to derive fairlead motions, (2) the compression of the recent history of fairlead motions to a few parameters, (3) a bank of neural networks, each network modelling the response corresponding to a given line length/static tension, and (4) a heuristic approach to selecting the most promising model among the candidates. One major advantage of the method is its sparsity, making it computationally efficient so it can be applied both offline, on large sets of recorded historical data, and online running on lightweight embedded hardware. The paper presents in detail each component listed above, and the method as a whole is verified on a realistic case. Given that enough excitation is present, the estimator was found to converge towards the true value of the tension, and to cope well with transient conditions such as winching operations, and with the presence of oceanic current.en_US
dc.language.isoengen_US
dc.publisherElsevier Scienceen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleEstimation of top tensions in mooring lines by sensor fusionen_US
dc.title.alternativeEstimation of top tensions in mooring lines by sensor fusionen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber1-18en_US
dc.source.volume86en_US
dc.source.journalMarine Structuresen_US
dc.identifier.doi10.1016/j.marstruc.2022.103309
dc.identifier.cristin2066735
dc.relation.projectNorges forskningsråd: 280705en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal