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dc.contributor.authorvan Binsbergen, Diederik
dc.contributor.authorsoares, marcelo nesci
dc.contributor.authorPedersen, Eilif
dc.contributor.authorNejad, Amir R.
dc.date.accessioned2023-03-16T09:06:45Z
dc.date.available2023-03-16T09:06:45Z
dc.date.created2022-08-10T10:53:14Z
dc.date.issued2022
dc.identifier.citationJournal of Physics: Conference Series (JPCS). 2022, 2265 .en_US
dc.identifier.issn1742-6588
dc.identifier.urihttps://hdl.handle.net/11250/3058636
dc.description.abstractThis paper describes the development of a physics-, SCADA-based model able to predict the expected lifetime for wind turbine drivetrains. A real-time coupled torsional gearbox-generator model is developed using the bond graph approach in the software 20SIM. The model uses SCADA data with a sampling frequency of one hertz to impose a load reference on the wind turbine for the simulation model. From the SCADA measurements, rotor torque is estimated and used as input load to the wind turbine rotor, while generator speed is used as reference in the control loop for maximum power point tracking. Shaft torsion is used to predict highspeed shaft radial and axial bearing loads from static equilibrium. The load amplitude and the number of stress cycles are calculated using the load duration distribution method and damage is calculated using Miner's rule. Expected lifetime is predicted by linear extrapolation of the accumulated fatigue damage to the fatigue limit. Results show that the model can capture the torsional and electrical dynamics and that the model results agree with the reference input. The radial bearing loads match well with literature where additional sensors are used to determine the loads.en_US
dc.language.isoengen_US
dc.publisherIOP Publishingen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA physics-, SCADA-based remaining useful life calculation approach for wind turbine drivetrainsen_US
dc.title.alternativeA physics-, SCADA-based remaining useful life calculation approach for wind turbine drivetrainsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber13en_US
dc.source.volume2265en_US
dc.source.journalJournal of Physics: Conference Series (JPCS)en_US
dc.identifier.doi10.1088/1742-6596/2265/3/032079
dc.identifier.cristin2042133
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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