A hybrid prognostic methodology for tidal turbine gearboxes

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dc.cclicenceCC-BY-NC-NDen
dc.contributor.authorElasha, Farisen
dc.contributor.authorMba, Daviden
dc.contributor.authorMaster, I.en
dc.contributor.authorTogneri, M.en
dc.contributor.authorTeixeira, J. A.en
dc.date.acceptance2017-07-31en
dc.date.accessioned2018-11-26T11:19:19Z
dc.date.available2018-11-26T11:19:19Z
dc.date.issued2017-07-24
dc.descriptionopen access articleen
dc.description.abstractTidal energy is one of promising solutions for reducing greenhouse gas emissions and it is estimated that 100 TWh of electricity could be produced every year from suitable sites around the world. Although premature gearbox failures have plagued the wind turbine industry, and considerable research efforts continue to address this challenge, tidal turbine gearboxes are expected to experience higher mechanical failure rates given they will experience higher torque and thrust forces. In order to minimize the maintenance cost and prevent unexpected failures there exists a fundamental need for prognostic tools that can reliably estimate the current health and predict the future condition of the gearbox.This paper presents a life assessment methodology for tidal turbine gearboxes which was developed with synthetic data generated using a blade element momentum theory (BEMT) model. The latter has been used extensively for performance and load modelling of tidal turbines. The prognostic model developed was validated using experimental dataen
dc.funderEPSRC (Engineering and Physical Sciences Research Council)en
dc.identifier.citationElasha, F. et al. (2017) A hybrid prognostic methodology for tidal turbine gearboxes. Renewable Energy, 114 (B), 1051-1061en
dc.identifier.doihttps://doi.org/10.1016/j.renene.2017.07.093
dc.identifier.urihttp://hdl.handle.net/2086/17287
dc.language.isoenen
dc.peerreviewedYesen
dc.projectidGrant EP/J010200/1en
dc.publisherElsevieren
dc.researchinstituteInstitute of Artificial Intelligence (IAI)en
dc.titleA hybrid prognostic methodology for tidal turbine gearboxesen
dc.typeArticleen

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