Abstract: Disclosed is a method for detecting concealed emerging defects in a structure of a wind turbine blade, and a wind turbine blade comprising a first acoustical transducer fastened to a first area of a surface of a structure of the wind turbine blade, and wherein the first acoustical transducer is configured to, while the wind turbine blade being attached to a hub of a wind turbine and the wind turbine is operating: emit a first primary acoustic signal through the surface of the structure and into the structure; and receive a first secondary acoustic signal indicative of an echo of the first primary acoustic signal.

Abstract: Disclosed is a method for detecting concealed emerging defects in a structure of a wind turbine blade, and a wind turbine blade comprising a first acoustical transducer fastened to a first area of a surface of a structure of the wind turbine blade, and wherein the first acoustical transducer is configured to, while the wind turbine blade being attached to a hub of a wind turbine and the wind turbine is operating: emit a first primary acoustic signal through the surface of the structure and into the structure; and receive a first secondary acoustic signal indicative of an echo of the first primary acoustic signal.

Abstract: The present subject matter is directed to a system and method for optimizing wind turbine operation. For example, the present disclosure is configured to generate operating data for at least one operational parameter of the wind turbine for a predetermined time period. The system can then determine a robustness measurement of at least a portion of the operating data. In general, the robustness measurement indicates the tendency of the operating data to be affected by outliers present in the operating data. In addition, the robustness measurement is typically a function of a distribution of the operating data. The present disclosure is then configured to determine at least one optimal set point for the operational parameter as a function of the robustness measurement and a power production of the wind turbine. The wind turbine can then be operated based on the optimal set point.

Abstract: The present subject matter is directed to a system and method for optimizing wind turbine operation. For example, the present disclosure is configured to generate operating data for at least one operational parameter of the wind turbine for a predetermined time period. The system can then determine a robustness measurement of at least a portion of the operating data. In general, the robustness measurement indicates the tendency of the operating data to be affected by outliers present in the operating data. In addition, the robustness measurement is typically a function of a distribution of the operating data. The present disclosure is then configured to determine at least one optimal set point for the operational parameter as a function of the robustness measurement and a power production of the wind turbine. The wind turbine can then be operated based on the optimal set point.