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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

Explore the Open Access research of Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2022 | 2021 | 2020 | 2019
Number of items: 7.

2022

Turnbull, Alan and Mckinnon, Conor and Carroll, James and McDonald, Alasdair (2022) On the development of offshore wind turbine technology : an assessment of reliability rates and fault detection methods in a changing market. Energies, 15 (9). 3180. ISSN 1996-1073

McKinnon, C and Tartt, K and Carroll, J and McDonald, A and Plumley, C and Ferguson, D (2022) Comparison of novel SCADA data cleaning technique for wind turbine electric pitch system. Journal of Physics: Conference Series, 2151 (1). 012005. ISSN 1742-6588

2021

McKinnon, Conor and Carroll, James and McDonald, Alasdair and Koukoura, Sofia and Plumley, Charlie (2021) Investigation of isolation forest for wind turbine pitch system condition monitoring using SCADA data. Energies, 14 (20). 6601. ISSN 1996-1073

2020

McKinnon, Conor and Carroll, James and McDonald, Alasdair and Koukoura, Sofia and Infield, David and Soraghan, Conaill (2020) Comparison of new anomaly detection technique for wind turbine condition monitoring using gearbox SCADA data. Energies, 13 (19). 5152. ISSN 1996-1073

Mckinnon, Conor and Turnbull, Alan and Koukoura, Sofia and Carroll, James and McDonald, Alasdair (2020) Effect of time history on normal behaviour modelling using SCADA data to predict wind turbine failures. Energies, 13 (18). 4745. ISSN 1996-1073

2019

Mckinnon, C. and Carroll, J. and McDonald, A. and Koukoura, S. and Soraghan, C. (2019) Comparison of anomaly detection techniques for wind turbine gearbox SCADA data. In: Wind Energy Science Conference 2019, 2019-06-17 - 2019-06-20, University College Cork.

Mckinnon, Conor and Carroll, James and McDonald, Alasdair and Koukoura, Sofia (2019) Machine learning in wind turbine O&M. In: Future Wind and Marine, 2019-03-07, University of Strathclyde.

This list was generated on Wed Jun 19 15:37:15 2024 BST.