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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. 6/02/2018 In : IEEE Transactions on Sustainable Energy. 9 p.

    Research output: Contribution to journalJournal article

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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/ProceedingsConference contribution

  10. Natural computing for mechanical systems research: a tutorial overview

    Worden, K., Staszewski, W. J. & Hensman, J. J. 01/2011 In : Mechanical Systems and Signal Processing. 25, 1, p. 4-111 108 p.

    Research output: Contribution to journalJournal article

  11. Sensor Testing Through Bias Superposition.

    Richardson, A. M. D., Bunyan, R., Mathias, H. & Nouet, P. 1/05/2007 In : Sensors and Actuators A: Physical. 136, 1, p. 441-455 15 p.

    Research output: Contribution to journalJournal article

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