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Results for Wind turbines

Publications & Outputs

  1. Wind turbine fault detection and identification through PCA-based optimal variable selection

    Wang, Y., Ma, X. & Qian, P. 10/2018 In : IEEE Transactions on Sustainable Energy. 9, 4, p. 1627-1635 9 p.

    Research output: Contribution to journalJournal article

  2. Data-driven condition monitoring approaches to improving power output of wind turbines

    Qian, P., Ma, X., Zhang, D. & Wang, J. 12/09/2018 (Accepted/In press) In : IEEE Transactions on Industrial Electronics. 9 p.

    Research output: Contribution to journalJournal article

  3. A condition monitoring system for an early warning of developing faults in wind turbine electrical systems

    Ma, X., Cross, P. & Qian, P. 1/12/2016 In : Insight – Non-Destructive Testing and Condition Monitoring. 58, 12, p. 663-670 8 p.

    Research output: Contribution to journalJournal article

  4. Simultaneous fault detection and sensor selection for condition monitoring of wind turbines

    Zhang, W. & Ma, X. 12/04/2016 In : Energies. 9, 4, 15 p., 280

    Research output: Contribution to journalJournal article

  5. An overview on fault diagnosis and nature-inspired optimal control of industrial process applications

    Precup, R-E., Angelov, P., Jales Costa, B. S. & Sayed-Mouchaweh, M. 12/2015 In : Computers in Industry. 74, p. 75-94 20 p.

    Research output: Contribution to journalJournal article

  6. Condition monitoring of wind turbines based on extreme learning machine

    Qian, P., Ma, X. & Wang, Y. 12/09/2015 ICAC2015: Proceedings of the 21st International Conference on Automation and Computing. IEEE, p. 37-42 6 p.

    Research output: Contribution in Book/Report/ProceedingsPaper

  7. Model-based and fuzzy logic approaches to condition monitoring of operational wind turbines

    Cross, P. & Ma, X. 02/2015 In : International Journal of Automation and Computing. 12, 1, p. 25-34 10 p.

    Research output: Contribution to journalJournal article

  8. Compressible Reynolds-Averaged Navier-Stokes analysis of wind turbine turbulent flows using a Fully-Coupled Low-Speed preconditioned multigrid solver

    Campobasso, S., Yan, M., Drofelnik, J., Piskopakis, A. & Caboni, M. 2014 ASME Turbo Expo 2014: turbine technical conference and exposition: oil and gas applications; organic rankine cycle power systems; supercritical CO2 power cycles; wind energy. The American Society of Mechanical Engineers, Vol. 3B, 15 p. GT2014-25562

    Research output: Contribution in Book/Report/ProceedingsPaper

  9. A novel condition monitoring and real-time simulation system for wind turbines

    Ma, X. & Cross, P. 4/02/2013 Proceedings of EWEA 2013 - European Wind Energy Conference & Exhibition. Vienna: EWEA, 9 p.

    Research output: Contribution in Book/Report/ProceedingsPaper

  10. Model-based condition monitoring for wind turbines

    Cross, P. & Ma, X. 2013 Automation and Computing (ICAC), 2013 19th International Conference on. IEEE, 7 p.

    Research output: Contribution in Book/Report/ProceedingsPaper

  11. Generic model of a community-based microgrid integrating wind turbines and photovoltaics

    Ma, X., Qin, J. & Wang, Y. 07/2012 p. 3147-3153 7 p.

    Research output: Contribution to conference Conference paper

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