A hybrid prognostic methodology for tidal turbine gearboxes

Journal article


Elasha, F, Mba, D, Togneri, M, Masters, I and Teixeira, JA (2017). A hybrid prognostic methodology for tidal turbine gearboxes. Renewable Energy. 114, pp. 1051-1061.
AuthorsElasha, F, Mba, D, Togneri, M, Masters, I and Teixeira, JA
Abstract

© 2017 Elsevier Ltd Tidal 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 data.

Keywords0906 Electrical And Electronic Engineering; 0913 Mechanical Engineering; Energy
Year2017
JournalRenewable Energy
Journal citation114, pp. 1051-1061
ISSN0960-1481
Digital Object Identifier (DOI)doi:10.1016/j.renene.2017.07.093
Publication dates
Print24 Jul 2017
Publication process dates
Deposited30 Oct 2018
Accepted23 Jul 2017
Publisher's version
License
CC BY 4.0
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https://openresearch.lsbu.ac.uk/item/86y7x

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