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Yueqi Wu

Formerly at Lancaster University

  1. 2024
  2. Published

    Grid Integration of a Novel Linear-generator-based Wave Power Conversion System

    Guo, R., Wu, Y., Ma, X., Aggidis, G. & Zhao, N., 4/10/2024.

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

  3. Published

    TALOS Wave Energy Converter Power Output Prediction Analysis Based on a Machine Learning Approach

    Wu, Y., Sheng, W., Taylor, J., Aggidis, G. & Ma, X., 9/09/2024, In: International Journal of Offshore and Polar Engineering . 34, 3, p. 306–313 8 p., ISOPE-24-34-3-306.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Published

    Enhancing Long-Term Predictive Accuracy in Wave Energy Converters through a Dual-Model Approach

    Wu, Y., Sheng, W., Taylor, C. J., Aggidis, G. & Ma, X., 17/06/2024, Proceedings of the Thirty-fourth (2024) International Ocean and Polar Engineering Conference. p. 633-640 8 p. 193-2024-TPC-0881

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

  5. Published

    The impact of model predictive control structures and constraints on a wave energy converter with hydraulic power take off system

    Hall, C., Sheng, W., Wu, Y. & Aggidis, G., 30/04/2024, In: Renewable Energy. 224, 120172.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. 2023
  7. Published

    The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter

    Hall, C., Wu, Y., Rizaev, I., Sheng, W., Dorrell, R. & Aggidis, G., 2/09/2023, p. 453-1 - 453-8. 8 p.

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

  8. Published

    The Impact of Control Structure and Constraints on the Performance of a Wave Energy Converter with a Hydraulic PTO System

    Hall, C., Wu, Y., Sheng, W. & Aggidis, G., 22/06/2023, ISOPE-2023. ISOPE, p. 628-635 8 p. 456

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

  9. Published

    Long-Short Term Memory Based TALOS Wave Energy Converter Power Output Prediction with Numerical Modelling

    Wu, Y., Sheng, W., Taylor, C. J., Aggidis, G. & Ma, X., 19/06/2023, The 33rd International Ocean and Polar Engineering Conference, Ottawa, Canada, June 2023: ISOPE 2023. ISOPE, p. 657-662 6 p. ISOPE-I-23-095

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

  10. 2022
  11. Published

    A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines

    Wu, Y. & Ma, X., 31/01/2022, In: Renewable Energy. 181, p. 554-566 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Unpublished

    Advanced data-driven modelling approaches to alarm-related fault detection and condition monitoring of wind turbines

    Wu, Y., 2022, (Unpublished) Lancaster University. 202 p.

    Research output: ThesisDoctoral Thesis

  13. 2021
  14. Published

    Intelligent Condition Monitoring of Wind Power Systems: State of the Art Review

    Benbouzid, M., Berghout, T., Sarma, N., Djurović, S., Wu, Y. & Ma, X., 20/09/2021, In: Energies. 14, 18, 33 p., 5967.

    Research output: Contribution to Journal/MagazineLiterature reviewpeer-review

  15. 2019
  16. 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/MagazineJournal articlepeer-review

  17. 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/ISSNConference contribution/Paperpeer-review

  18. 2018
  19. 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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