Anomaly detection of a horizontal wind turbine using an extended Kalman filter

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Loads that have a disproportionate impact on the components and structure of a wind turbine can be induced by anomalies in the wind-field. For example, large unbalanced rotor loads could arise from blades sweeping through low level jets. The work presented in this paper proposes a novel anomaly detection scheme. Simulation results are presented demonstrating that it can be used to aid in the early detection of various anomalous conditions, such as mass imbalance, extreme wind shear and dynamic inflow, thereby allowing the wind turbine controllers to take appropriate diagnostic action to cope with such conditions.
Original languageEnglish
Number of pages10
Publication statusPublished - 19 Nov 2015
EventEuropean Wind Energy Association Annual Event (EWEA 2015) - Paris expo Porte de Versailles, Paris, France
Duration: 17 Nov 201520 Nov 2015
http://www.ewea.org/annual2015/

Conference

ConferenceEuropean Wind Energy Association Annual Event (EWEA 2015)
CountryFrance
CityParis
Period17/11/1520/11/15
Internet address

Keywords

  • wind turbine monitoring
  • anomaly detection
  • wind turbine control
  • extended kalman filter

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  • Research Output

    • 2 Citations
    • 1 Conference Contribution

    Gusts detection in a horizontal wind turbine by monitoring of innovations error of an extended Kalman filter

    Recalde, L. F., Hur, S. & Leithead, W. E., 3 Oct 2016, In : Journal of Physics: Conference Series. 753, 10 p., 052010.

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    Cite this

    Hur, S., Recalde, L. F., & Leithead, W. E. (2015). Anomaly detection of a horizontal wind turbine using an extended Kalman filter. Paper presented at European Wind Energy Association Annual Event (EWEA 2015), Paris, France.