A device may receive historical operational data for a mechanical system, such as a rotor blade of a wind turbine. The device may determine one or more quality grades for each of one or more materials of the system, e.g., the rotor blade. The one or more quality grades may be determined by using a data model to process the historical operational data. The data model may be trained using machine learning based on one or both of historical operational data for similar systems, e.g., other rotor blades, and end-of-life (EOL) testing data for the same. The device may determine a recycling recommendation based on the one or more quality grades. The recycling recommendation may include instructions relating to recycling the one or more materials. The device may deliver the recycling recommendation to another device or recipient.

The present disclosure provides a system and method for real-time anomaly data determination for turbine blades of a wind turbine. The system receives sensor data associated with a set of turbine blades of the wind turbine. The sensor data indicates one or more structural characteristics associated with each of the set of turbine blades and/or one or more operational characteristics associated with each of the set of turbine blades. The system determines profile data associated with each of the set of turbine blades based on the sensor data. The system determines anomaly data associated with at least one of the set of turbine blades based on the profile data associated with each of the set of turbine blades. The anomaly data indicates a deviation between at least two turbine blades of the set of turbine blades. The system outputs the anomaly data.

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 state monitoring device for at least one rotor blade of a wind turbine, having at least one flexible sensor device with a plurality of measuring sections, which are arranged on a plurality of sections of the rotor blade and are designed so as to measure at least one respective parameter, and a processing device for detecting and/or processing the measured parameters. The device also relates to a rotor blade for a wind turbine, having at least one such state monitoring device, and to a wind turbine, having such a state monitoring device or such a rotor blade.

A blade inspection system includes: a transmitter of electromagnetic waves mounted in a first unmanned aerial vehicle (UAV); a receiver of electromagnetic waves mounted in a second UAV; at least one processor communicably coupled to the transmitter and the receiver; and a memory storing instructions executable by the at least one processor. The instructions causes the at least one processor to execute: emitting electromagnetic waves from the transmitter to the rotating surfaces of the blades of a wind power plant in a state where the first UAV and the second UAV face each other with the blades sandwiched therebetween; receiving, by the receiver, at least one of a reflected wave and a diffracted wave generated by the blades due to the emission of the electromagnetic waves from the transmitter; and determining whether there is an abnormality in the blades through analysis of the reflected wave or the diffracted wave.

A wind power generation device control system includes: a blade wind detecting device for detecting at least one of a wind direction or a wind speed on at least one blade of a wind power generation device; and a blade control device for controlling at least one of (i) a pitch angle of the at least one blade or (ii) a yaw angle of the wind power generation device, based on at least one of the wind direction or the wind speed detected by the blade wind detecting device.

In order to provide an improved and cost-efficient method and tool for performing a defect detection procedure aiming at the detection of a defect underneath an outer protection layer covering the leading edge of a wind turbine generator blade a method is described during which a tool tip is being biased against the surface of the outer protection layer while being guided over the outer protection layer and deviations in the uniformity of the at least one feedback value are sensed to identify potential defects. A tool and a detection unit suitable for the described method is also described.

A method of determining a value of a stress related quantity of a rotor blade of a wind turbine is provided, the method including: emitting a primary radar signal towards a portion of the blade; receiving a secondary radar signal emanating from the blade due to interaction with the primary radar signal; analyzing at least the received secondary radar signal; and deriving, based on the analysis, the value of the stress related quantity as related to or indicating a blade acceleration and/or a first temporal derivative of the blade acceleration and/or a higher temporal derivative of the blade acceleration.

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.