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Open Access research that explores socio-technical phenomena & evolving information systems & behaviours...

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. This research work also includes investigations into information behaviour, how users engage with information and the legal and ethical issues arising from information use.

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Group by: Publication Date | Item type | No Grouping
Number of items: 10.

Article

Koukoura, Sofia and Carroll, James and McDonald, Alasdair (2019) On the use of AI based vibration condition monitoring of wind turbine gearboxes. Journal of Physics: Conference Series, 1222 (1). 012045. ISSN 1742-6588

Carroll, James and Koukoura, Sofia and McDonald, Alasdair and Weiss, Stephan and McArthur, Stephen (2018) Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques. Wind Energy. ISSN 1095-4244

Koukoura, S and Carroll, J and McDonald, A and Weiss, S (2018) Wind turbine gearbox planet bearing failure prediction using vibration data. Journal of Physics: Conference Series, 1104. 012016. ISSN 1742-6596

Koukoura, Sofia and Carroll, James and McDonald, Alasdair (2018) An insight into wind turbine planet bearing fault prediction using SCADA data. Proceedings of the European Conference of the PHM Society, 4 (1).

Artigao, Estefania and Koukoura, Sofia and Honrubia-Escribano, Andrés and Carroll, James and McDonald, Alasdair and Gómez-Lázaro, Emilio (2018) Current signature and vibration analyses to diagnose an in-service wind turbine drive train. Energies, 11 (4). ISSN 1996-1073

Book Section

Koukoura, Sofia and Carroll, James and Weiss, Stepha and McDonald, Alasdair; (2017) Wind turbine gearbox vibration signal signature and fault development through time. In: 25th European Signal Processing Conference, EUSIPCO 2017. IEEE, GRC, pp. 1380-1384. ISBN 9780992862671

Conference or Workshop Item

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.

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.

Koukoura, Sofia and Carroll, James and McDonald, Alasdair (2017) Wind turbine intelligent gear fault identification. In: Annual Conference of the PHM Society, 2017-10-02 - 2017-10-05.

This list was generated on Thu Feb 20 02:35:00 2020 GMT.