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dc.contributor.authorCho, Seongpil
dc.contributor.authorGao, Zhen
dc.contributor.authorMoan, Torgeir
dc.description.abstractThis paper presents a model-based scheme for fault detection of a blade pitch system in floating wind turbines. A blade pitch system is one of the most critical components due to its effect on the operational safety and the dynamics of wind turbines. Faults in this system should be detected at the early stage to prevent failures. To detect faults of blade pitch actuators and sensors, an appropriate observer should be designed to estimate the states of the system. Residuals are generated by a Kalman filter and a threshold based on H optimization, and linear matrix inequality (LMI) is used for residual evaluation. The proposed method is demonstrated in a case study that bias and fixed output in pitch sensors and stuck in pitch actuators. The simulation results show that the proposed method detects different realistic fault scenarios of wind turbines under the stochastic external winds.nb_NO
dc.publisherIOP Publishingnb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.titleModel-based fault detection of blade pitch system in floating wind turbinesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.source.journalJournal of Physics, Conference Seriesnb_NO
dc.relation.projectNorges forskningsråd: 223254nb_NO
dc.description.localcodeContent from this work may be used under the terms of theCreative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltdnb_NO
cristin.unitnameInstitutt for marin teknikk

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