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Literary linguistics: Open Access research in English language

Strathprints makes available Open Access scholarly outputs by English Studies at Strathclyde. Particular research specialisms include literary linguistics, the study of literary texts using techniques drawn from linguistics and cognitive science.

The team also demonstrates research expertise in Renaissance studies, researching Renaissance literature, the history of ideas and language and cultural history.

Explore some of this Open Access research from English. Or explore all Strathclyde Open Access research...

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Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2017
Number of items: 21.

2022

R. Nejad, Amir and Keller, Jonathan and Guo, Yi and Sheng, Shawn and Polinder, Henk and Watson, Simon and Dong, Jianning and Qin, Zian and Ebrahimi, Amir and Schelenz, Ralf and Guzmán, Francisco Gutiérrez and Cornel, Daniel and Golafshan, Reza and Jacobs, Georg and Blockmans, Bart and Bosmans, Jelle and Pluymers, Bert and Carroll, James and Koukoura, Sofia and Hart, Edward and McDonald, Alasdair and Natarajan, Anand and Torsvik, Jone and Moghadam, Farid K. and Daems, Pieter-Jan and Verstraeten, Timothy and Peeters, Cédric and Helsen, Jan (2022) Wind turbine drivetrains : state-of-the-art technologies and future development trends. Wind Energy Science, 7 (1). pp. 387-411. ISSN 2366-7451

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

Dixon, James and Koukoura, Sofia and Brand, Christian and Morgan, Malcom and Bell, Keith (2021) Spatially disaggregated car ownership prediction using deep neural networks. Future Transportation, 1 (1). pp. 113-133. ISSN 2673-7590

Koukoura, Sofia and Scheu, Matti Niclas and Kolios, Athanasios (2021) Influence of extended potential-to-functional failure intervals through condition monitoring systems on offshore wind turbine availability. Reliability Engineering and System Safety, 208. 107404. ISSN 0951-8320

Corley, Becky and Koukoura, Sofia and Carroll, James and McDonald, Alasdair (2021) Combination of thermal modelling and machine learning approaches for fault detection in wind turbine gearboxes. Energies, 14 (5). 1375. ISSN 1996-1073

Cevasco, D. and Koukoura, S. and Kolios, A. J. (2021) Reliability, availability, maintainability data review for the identification of trends in offshore wind energy applications. Renewable and Sustainable Energy Reviews, 136. 110414. ISSN 1364-0321

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

Koukoura, Sofia and Peeters, Cédric and Helsen, Jan and Carroll, James (2020) Investigating parallel multi-step vibration processing pipelines for planetary stage fault detection in wind turbine drivetrains. Journal of Physics: Conference Series, 1618 (2). 022054. ISSN 1742-6588

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

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

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.

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

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.

2018

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

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 (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

2017

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

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 Tue Jun 28 02:02:36 2022 BST.