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Dr Xiandong Ma

Senior Lecturer

  1. Conference contribution/Paper
  2. Published

    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/ISSNConference contribution/Paperpeer-review

  3. Published

    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/ISSNConference contribution/Paperpeer-review

  4. Published

    State dependent parameter model-based condition monitoring for wind turbines

    Cross, P. & Ma, X., 2013, Proceedings of the 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2013 & MFPT 2013). BINDT, 12 p.

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

  5. Published

    Feature selection for artificial neural network model-based condition monitoring of wind turbines

    Cross, P. & Ma, X., 2013, Proceedings of the 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2013 & MFPT 2013). BINDT, 12 p.

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

  6. Published

    Enhancing condition monitoring of distributed generation systems through optimal sensor selection

    Wang, Y., Ma, X. & Joyce, M., 2013, Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE. Piscataway, N.J.: IEEE, p. 7610-7616 7 p.

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

  7. Published

    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/ISSNConference contribution/Paperpeer-review

  8. Published

    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/Paperpeer-review

  9. Published

    A GPGPU accelerated compressed sensing with tight wavelet frame transform technique for MR imaging reconstruction

    Hu, B., Ma, X., Joyce, M., Glover, P. & Naleem, B., 2012, Imaging Systems and Techniques (IST), 2012 IEEE International Conference on. IEEE, p. 121-125 5 p.

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

  10. Published

    Electromagnetic NDT and condition monitoring - A personal view

    Ma, X., 21/11/2011, Proceedings of 2011 17th International Conference on Automation and Computing (ICAC’11): 10 Sept. 2011, Huddersfield, UK. IEEE, p. 266-271 6 p.

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

  11. Conference paper
  12. Published

    Alarms-related wind turbine fault detection based on Kernel support vector machines

    Wu, Y. & Ma, X., 27/09/2018. 7 p.

    Research output: Contribution to conference - Without ISBN/ISSN Conference paperpeer-review

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