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Cognition: Open Access research that improves psychological health & welleing...

Strathprints makes available scholarly Open Access content by researchers within the School of Psychological Sciences & Health, including those based in Psychology.

Research at Psychology includes those working within cognition, better understanding neurological and neurodegenerative conditions (e.g. stroke, Alzheimer's disease), or mental health problems (e.g. anxiety, depression, suicidal ideation). Researchers incorporate a wide range of techniques in their investigations, including digital paradigms, surveys, electroencephalography (EEG), neuroimaging techniques (e.g., functional/structural magnetic resonance imaging), eye-tracking technologies, brain stimulation (using transcranial direct current stimulation) and motion capture.

Explore the Open Access research by Psychology, 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: 6.

2022

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 Fri Jan 28 09:28:03 2022 GMT.