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

Renewable Energy, Volume: 114, Issue: Part B, Pages: 1051 - 1061

Swansea University Authors: Michael, Togneri, Ian, Masters

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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 ef...

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Published in: Renewable Energy
ISSN: 0960-1481
Published: Elsevier BV 2017
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa34753
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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.
Keywords: Tidal Turbines; Prognosis; Gearbox; Life Prediction; Diagnosis; Health management
College: College of Engineering
Issue: Part B
Start Page: 1051
End Page: 1061