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Open Access research that better understands human-computer interaction...

Strathprints makes available scholarly Open Access content by researchers within the Department of Computer & Information Sciences working as part of the Strathclyde iSchool Research Group (SiRG). The SiRG specialises in understanding how people search for information and explores interactive search tools that support their information seeking and retrieval tasks. Research work also includes investigations into information engagement habits of users, particularly in the domains of digital health and social media.

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Number of items: 7.

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

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

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

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

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.

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 May 26 14:33:23 2022 BST.