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Article

Wilson, G and McMillan, D (2014) Assessing wind farm reliability using weather dependent failure rates. Journal of Physics: Conference Series, 524 (1). 012181. ISSN 1742-6588

Conference or Workshop Item

McMillan, David and Dinwoodie, Iain Allan and Wilson, Graeme and May, Allan and Hawker, Graeme (2014) Asset modelling challenges in the wind energy sector. In: CIGRE Session 2014, 2014-08-24 - 2014-08-30.

Wilson, Graeme and McMillan, David (2014) Quantifying the impact of wind speed on wind turbine component failure rates. In: European Wind Energy Association 2014 Annual Conference, 2014-03-10 - 2014-03-13.

Wilson, Graeme and McMillan, David (2013) Modelling the impact of the environment on offshore wind turbine failure rates. In: EWEA Offshore 2013, 2013-11-19 - 2013-11-21.

Wilson, Graeme and McMillan, David (2013) Modeling the effects of seasonal weather and site conditions on wind turbine failure modes. In: ESREL 2013, 2013-09-30.

Wilson, Graeme and McMillan, David (2012) Modeling the effects of the environment on wind turbine failure modes using neural networks. In: IET International Conference on Sustainable Power Generation and Supply, 2012-09-08 - 2012-09-09.

Plumley, Charles Edward and Wilson, Graeme and Kenyon, Andrew and Quail, Francis and Zitrou, Athena (2012) Diagnostics and prognostics utilising dynamic Bayesian networks applied to a wind turbine gearbox. In: International Conference on Condition Monitoringand Machine Failure Prevention Technologies, CM & MFPT 2012, 2012-06-12 - 2012-06-14.