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.
|Publication status||Published - 2015|
|Event||12th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies - Oxford, United Kingdom|
Duration: 9 Jun 2015 → 11 Jun 2015
Conference number: 12th
|Conference||12th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies|
|Abbreviated title||CM 2015/MFPT 2015|
|Period||9/06/15 → 11/06/15|