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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: 2021 | 2020 | 2019 | 2018 | 2017
Number of items: 6.

2021

Turnbull, Alan and Carroll, James (2021) Cost benefit of implementing advanced monitoring and predictive maintenance strategies for offshore wind farms. Energies, 14 (16). 4922. ISSN 1996-1073

2020

Turnbull, Alan and Carroll, James and McDonald, Alasdair (2020) Combining SCADA and vibration data into a single anomaly detection model to predict wind turbine component failure. Wind Energy. ISSN 1095-4244

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

Turnbull, Alan and Carroll, James and McDonald, Alasdair and Koukoura, Sofia (2019) Prediction of wind turbine generator failure using two-stage cluster-classification methodology. Wind Energy, 22 (11). pp. 1593-1602. ISSN 1095-4244

2018

Turnbull, A. and Carroll, J. and Koukoura, S. and McDonald, A. (2018) Prediction of wind turbine generator bearing failure through analysis of high frequency vibration data and the application of support vector machine algorithms. In: The 7th International Conference on Renewable Power Generation, 2018-08-26 - 2018-09-27, DTU, Lyngby.

2017

Hart, E and Turnbull, A and McMillan, D and Feuchtwang, J and Golysheva, E and Elliott, R (2017) Investigation of the relationship between main-bearing loads and wind field characteristics. Journal of Physics: Conference Series, 926. 012010. ISSN 1742-6588

This list was generated on Thu Jan 27 12:20:34 2022 GMT.