DeepwizAI

View Original

A simple technique to improve wind turbine misalignment detection

See this content in the original post

Fig. 1: The rotation of the blades shown above define the pitch angle rotation of wind turbines.

See this content in the original post

Fig. 2: Yaw control in wind turbines.

See this content in the original post

Fig. 3: Turbine top view with wind directions. Here, wind direction 1 gives the maximum output as it is directly aligned with the turbine face. Wind direction 2 gives the second-best output as it is slightly misaligned with respect to the face. Finally. wind direction 4 is the worst in terms of power generation.

See this content in the original post

(a)

(b)

Fig. 4: (a) A visual representation of the misalignment severity function for yaw group rank of 1.
(b) A visual representation of the misalignment severity function for yaw group rank of 15.

See this content in the original post

Fig. 5: The misalignment severity scoring function is a separate curve for each rank but when yaw_group_rank is considered as the third dimension, we end up with a single, 3D function (visualized at the end of the gif).

See this content in the original post

We leave you with a dapper animation 😎 Enjoy! 😎