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dc.contributor.authorKanazawa, Motoyasu
dc.contributor.authorWang, Tongtong
dc.contributor.authorSkulstad, Robert
dc.contributor.authorLi, Guoyuan
dc.contributor.authorZhang, Houxiang
dc.date.accessioned2024-01-31T14:34:19Z
dc.date.available2024-01-31T14:34:19Z
dc.date.created2023-12-13T09:41:55Z
dc.date.issued2023
dc.identifier.isbn979-8-3503-9971-4
dc.identifier.urihttps://hdl.handle.net/11250/3114902
dc.description.abstractThe advancement of sensing technologies brings digitalization into the field of offshore operations. Especially, practitioners have paid attention to ensuring operational safety by predicting ship motion with motion sensors and onboard wave radars. This study proposes a novel physics-data cooperative approach for on-site ship motion prediction with wave radars. First, the proposed approach makes a stochastic ship motion prediction by using a physics-based ship model. Such a physics-based approach is widely popular, however, it requires extensive effort in calibrating a whole system to achieve good performance. To improve its performance, this study employs a linear regression model to map physics-based prediction into true ship motion. The coefficients of the regression model are determined in a data-driven manner. A primary challenge of such a cooperative approach is the imbalance of datasets dominated by samples with small motions. To improve the performance for samples with large motions, undersampling is a key element in the proposed approach. A large-scale validation study was performed by employing a 33.9m research vessel with a commercial virtual wave-radar system on a navigational X-band radar. 104 samples were collected for developing and testing the cooperative approach. Data-driven support notably improved the performance of physics-based prediction. Undersampling was found to be effective when roll motion is large. Thus, this study firstly reports such a physics-data cooperative approach with a large-scale validation study.en_US
dc.language.isoengen_US
dc.relation.ispartof2023 IEEE 32nd International Symposium on Industrial Electronics - ISIE
dc.relation.urihttps://ieeexplore.ieee.org/document/10228113
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titlePhysics-data cooperative ship motion prediction with onboard wave radar for safe operationsen_US
dc.title.alternativePhysics-data cooperative ship motion prediction with onboard wave radar for safe operationsen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.rights.holder© Copyright 2023 IEEE - All rights reserved.en_US
dc.identifier.doihttp://dx.doi.org/10.1109/ISIE51358.2023.10228113
dc.identifier.cristin2212732
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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