Research Output per year
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.
|Number of pages||10|
|Publication status||Published - 19 Nov 2015|
|Event||European Wind Energy Association Annual Event (EWEA 2015) - Paris expo Porte de Versailles, Paris, France|
Duration: 17 Nov 2015 → 20 Nov 2015
|Conference||European Wind Energy Association Annual Event (EWEA 2015)|
|Period||17/11/15 → 20/11/15|
- wind turbine monitoring
- anomaly detection
- wind turbine control
- extended kalman filter
Gusts detection in a horizontal wind turbine by monitoring of innovations error of an extended Kalman filterRecalde, L. F., Hur, S. & Leithead, W. E., 3 Oct 2016, In : Journal of Physics: Conference Series. 753, 10 p., 052010.
Research output: Contribution to journal › Conference Contribution
66 Downloads (Pure)
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.