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Dr Xiandong Ma

Senior Lecturer

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  1. 2019
  2. Published

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

    Qian, P., Ma, X., Zhang, D. & Wang, J., 1/08/2019, In: IEEE Transactions on Industrial Electronics. 66, 8, p. 6012 - 6020 9 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. Published

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

    Wu, Y. & Ma, X., 1/07/2019, In: The Journal of Engineering. 2019, 18, p. 4980 – 4985 6 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Convolutional Neural Network based power generation prediction of wave energy converter

    Ni, C., Ma, X. & Bai, Y., 1/07/2019, Proceedings of the 24th International Conference on Automation and Computing. IEEE, p. 460-465 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Heuristic algorithm based dynamic scheduling model of home appliances in smart grid

    Khan, I. U., Ma, X., Taylor, C. J., Javaid, N. & Gamage, K., 1/07/2019, 24th International Conference on Automation and Computing. IEEE, 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  6. Published

    Kullback-Leibler divergence based wind turbine fault feature extraction

    Wu, Y. & Ma, X., 1/07/2019, 24th International Conference on Automation & Computing. IEEE, p. 507-512 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  7. Published

    Proceedings of 2018 24th International Conference on Automation and Computing (ICAC)

    Ma, X. (ed.), 1/07/2019, IEEE. 797 p.

    Research output: Book/Report/Proceedings › Proceedings

  8. 2018
  9. Published

    Detector systems

    Lionheart, W., Peyton, A. & Ma, X., 23/10/2018, Patent No. US10107783B2

    Research output: Patent

  10. Published

    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 Journal/Magazine › Journal article › peer-review

  11. 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 paper › peer-review

  12. Published

    Prediction of Wave Power Generation Using a Convolutional Neural Network with Multiple Inputs

    Ni, C. & Ma, X., 13/08/2018, In: Energies. 11, 8, 18 p., 2097.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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