Picture of neon sign reading 'open'

Being more open: International Open Access Week at Strathprints (19-25 Oct 2020)...

Strathprints makes available scholarly Open Access content by researchers from the University of Strathclyde, spanning numerous disciplines across science, engineering, business, social sciences and humanties. 19-25 October 2020 is International Open Access Week, an annual global event to promote the need for, and benefits of, greater Open Access in scholarship. This not only encompasses greater openness of research publications like journal articles and conference papers, but also important outputs of the research process, such as data (e.g. Open Data).

At Strathclyde we are committed to progressing towards full Open Access by 2025. That is why close to 90% of all research is now made available Open Access, principally through Strathprints. Explore all of Strathclyde's Open Access research...

Browse by Author or creator

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: Publication Date | Item type | No Grouping
Jump to: 2014 | 2013 | 2012
Number of items: 7.

2014

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, 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

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.

2013

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.

2012

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.

This list was generated on Sun Oct 25 01:33:07 2020 BST.