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Open Access research that explores why technology innovation occurs

Strathprints makes available Open Access scholarly outputs by Hunter Centre for Entrepreneurship based within Strathclyde Business School. Particular research specialisms within the Hunter Centre include better understanding the dynamics of how new technologies and business models move from concept to market. This research aligns with another local specialism, 'entrepreneurial ecosystems', which seeks to codify the role of context and systemic influences on entrepreneurship.

Explore some of this Open Access research from Hunter Centre for Entrepreneurship. Or explore all Strathclyde Open Access research...

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Group by: Publication Date | Item type | No Grouping
Jump to: 2022 | 2021 | 2020 | 2019 | 2018 | 2017
Number of items: 8.

2022

Turnbull, Alan and Carroll, James and McDonald, Alasdair (2022) A comparative analysis on the variability of temperature thresholds through time for wind turbine generators using normal behaviour modelling. Energies, 15 (14). 5298. ISSN 1996-1073

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

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 Wed Nov 30 04:33:22 2022 GMT.