Picture of wind farm

Open Access research that is tackling the climate emergency...

Addressing the energy challenge confronting society is a strategic research theme for Strathclyde. Researchers from across the institution, spanning multiple disciplines, are therefore working together to understand ways of reducing the environmental impacts of energy use, improving energy efficiency, coping with declining fossil fuel supplies, managing an ageing energy infrastructure, and devising policy or economic levers to achieve higher penetration of renewable energy systems and technologies. Strathprints makes this scholarly research content available Open Access thereby ensuring results are available to everyone in order meet the global climate challenge.

Explore some of this Open Access research from the departments of Mechanical & Aerospace Engineering, Electronic & Electrical Engineering, Civil & Environmental Engineering, Naval Architecture, Ocean & Marine Engineering, Economics, Entrepreneurship and the School of Government & Public Policy.

Or 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: 2016 | 2014
Number of items: 3.

2016

Galloway, Grant S. and Catterson, Victoria M. and Fay, Thomas and Robb, Andrew and Love, Craig; Eballard, Ioana and Bregon, Anibal, eds. (2016) Diagnosis of tidal turbine vibration data through deep neural networks. In: Proceedings of the Third European Conference of the Prognostics and Health Management Society 2016. PHM Society, ESP, pp. 172-180. ISBN 9781936263219

2014

Galloway, Grant and Catterson, Victoria and Love, Craig and Robb, Andrew (2014) Anomaly detection techniques for the condition monitoring of tidal turbines. In: Annual Conference of the Prognostics and Health Management Society 2014 (PHM), 2014-09-29 - 2014-10-02, Hilton Fort Worth.

McGhee, Mark James and Galloway, Grant and Catterson, Victoria and Brown, Blair and Harrison, Emma (2014) Prognostic modelling of valve degradation within power stations. In: Annual Conference of the Prognostics and Health Management Society 2014 (PHM), 2014-09-29 - 2014-10-02, Hilton Fort Worth.

This list was generated on Sun May 31 11:28:26 2020 BST.