An assembly and associated method of operation for a wind turbine blade of a wind turbine includes a vibration mitigating device configured to be arranged around the blade. The vibration mitigating device includes a main body configured to extend chord-wise around and encircle the blade, the main body having at least one inflatable body. Inflatable air flow modifying elements extend radially outward from the main body. A pressure source is connectable to the inflatable body and the air flow modifying elements to inflate the inflatable body and the airflow modifying elements based on measurements of a sensor system that monitors a condition of the wind turbine or an environmental condition around the wind turbine.

An online testing and diagnosis method for vibration characteristics of blades of wind turbine is disclosed. Steps of testing and diagnosing blade vibration comprises: S1: installing vibration sensors at key positions of a blade, designing an adaptive data acquisition strategy, and automatically adjusting a sampling rate according to a vibration amplitude and environmental changes monitored in a real time; S2: extracting key features reflecting health status of the blade from massive data, and evaluating an impact of wind speed, temperature, and environmental factors on vibration characteristics; S3: designing a customized deep learning model for damages of the blade of a wind turbine, extracting a time sequence data and a vibration signal, identifying a damage among different types of damages and evaluating a damage degree; and S4: automatically adjusting a warning threshold based on a real-time data stream and a historical trend, and drafting a preventive maintenance plan.

A monitoring system for a wind turbine system, may comprise: thickness sensors and vibration sensors disposed on the monitored system, controller processors coupled to the sensors to receive and geo-tag sensor data, and communication devices for transmitting geo-tagged data. A communication device for receiving the geo-tagged data, and servers to analyze the data from the sensors to determine, e.g., element thickness and/or vibration producing events, and to compare same to standardized exception data therefor; wherein when an exception exists, to generate and communicate an alert therefrom via a display, a human interface device and/or the communication device. Additional sensors such as temperature sensors, strain gages, flow sensors, leak sensors and/or other sensors may also be disposed on the wind turbine system, and data therefrom processed to determine exceptions.

A method is for controlling a wind turbine. The wind turbine has a tower, a nacelle, a rotor with at least two rotor blades and a yaw system with at least one yaw drive configured to rotate the nacelle about a vertical axis of the tower (yaw axis). A control signal for the at least one yaw drive depends on at least one signal indicative of the wind direction. The control signal for the at least one yaw drive further depends on at least one value indicative of a vibration mode of the rotor blades.

According to an embodiment, the method is for operating a wind turbine having a rotor with at least one rotor blade and a setting system which is configured to change the operation of the wind turbine. The method includes a step in which first trigger information is provided, wherein the first trigger information is representative of whether the torsional movement of at least one rotor blade exceeds a threshold. If this is the case, a first output signal is generated which is configured to cause the setting system to change the operation of the wind turbine in order to reduce the torsional movement of the at least one rotor blade.