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Results for Condition monitoring

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. Kullback-Leibler divergence based wind turbine fault feature extraction

    Wu, Y. & Ma, X., 7/09/2018, 24th International Conference on Automation & Computing. IEEE, p. 507-512 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution

  4. Reducing sensor complexity for monitoring wind turbine performance using principal component analysis

    Wang, Y., Ma, X. & Joyce, M. J., 11/2016, In : Renewable Energy. 97, p. 444–456 13 p.

    Research output: Contribution to journalJournal article

  5. 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

  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/Proceedings - With ISBN/ISSNPaper

  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. Nonlinear system identification for model-based condition monitoring of wind turbines

    Cross, P. & Ma, X., 11/2014, In : Renewable Energy. 71, p. 166-175 10 p.

    Research output: Contribution to journalJournal article

  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/Proceedings - With ISBN/ISSNPaper

  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/Proceedings - With ISBN/ISSNPaper

  11. Novel early warning fault detection for wind-turbine-based DG systems

    Ma, X., 5/03/2012, Proceedings of 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies (ISGT Europe): 5-7 Dec. 2011, Manchester, UK. IEEE, p. 1-6 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution

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