A hybrid prognostic methodology for tidal turbine gearboxes

Faris Elasha, David Mba, Joao Amaral Teixeira, Ian Masters, Michael Togneri

Research output: Contribution to journalArticle

6 Citations (Scopus)
40 Downloads (Pure)

Abstract

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.

Publisher Statement: This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Original languageEnglish
Pages (from-to)1051-1061
Number of pages11
JournalRenewable Energy
Volume114
Issue numberB
Early online date24 Jul 2017
DOIs
Publication statusPublished - Dec 2017

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Turbines
Gas emissions
Greenhouse gases
Wind turbines
Momentum
Torque
Electricity
Health
Costs
Industry

Keywords

  • Tidal turbines
  • Prognosis
  • Gearbox
  • Life prediction
  • Diagnosis
  • Health management

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

Cite this

Elasha, F., Mba, D., Teixeira, J. A., Masters, I., & Togneri, M. (2017). A hybrid prognostic methodology for tidal turbine gearboxes. Renewable Energy, 114(B), 1051-1061. https://doi.org/10.1016/j.renene.2017.07.093

A hybrid prognostic methodology for tidal turbine gearboxes. / Elasha, Faris; Mba, David; Teixeira, Joao Amaral; Masters, Ian; Togneri, Michael.

In: Renewable Energy, Vol. 114, No. B, 12.2017, p. 1051-1061.

Research output: Contribution to journalArticle

Elasha, F, Mba, D, Teixeira, JA, Masters, I & Togneri, M 2017, 'A hybrid prognostic methodology for tidal turbine gearboxes' Renewable Energy, vol. 114, no. B, pp. 1051-1061. https://doi.org/10.1016/j.renene.2017.07.093
Elasha, Faris ; Mba, David ; Teixeira, Joao Amaral ; Masters, Ian ; Togneri, Michael. / A hybrid prognostic methodology for tidal turbine gearboxes. In: Renewable Energy. 2017 ; Vol. 114, No. B. pp. 1051-1061.
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