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Being more open: International Open Access Week at Strathprints (19-25 Oct 2020)...

Strathprints makes available scholarly Open Access content by researchers from the University of Strathclyde, spanning numerous disciplines across science, engineering, business, social sciences and humanties. 19-25 October 2020 is International Open Access Week, an annual global event to promote the need for, and benefits of, greater Open Access in scholarship. This not only encompasses greater openness of research publications like journal articles and conference papers, but also important outputs of the research process, such as data (e.g. Open Data).

At Strathclyde we are committed to progressing towards full Open Access by 2025. That is why close to 90% of all research is now made available Open Access, principally through Strathprints. Explore all of Strathclyde's Open Access research...

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Group by: Publication Date | Item type | No Grouping
Number of items: 13.


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

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

Kolios, Athanasios and Walgern, Julia and Koukoura, Sofia and Pandit, Ravi and Chiachio-Ruano, Juan; (2019) openO&M : Robust O&M open access tool for improving operation and maintenance of offshore wind turbines. In: Proceedings of the 29th European Safety and Reliability Conference. Research Publishing, DEU, pp. 629-625. ISBN 978981112723

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 Wed Oct 28 04:31:25 2020 GMT.