A method for monitoring a rotor assembly of a wind turbine includes receiving, via an imaging analytics module of a controller, thermal imaging data of the rotor assembly. The thermal imaging data includes a plurality of image frames. The method also includes automatically identifying, via a first machine learning model of the imaging analytics module, a plurality of sections of a rotor blade of the rotor assembly within the plurality of image frames until all sections of the rotor blade are identified. Further, the method includes selecting, via a function of the imaging analytics module, a subset of image frames from the plurality of image frames, the subset of image frames comprising a minimum number of the plurality of image frames required to represent all sections of the rotor blade. Moreover, the method includes generating, via a visualization module of the controller, an image of the rotor assembly using the subset of image frames.

A method of imaging a wind turbine rotor blade is provided, which method includes the steps of controlling a camera to capture a plurality of images, each image showing a part of the rotor blade surface; augmenting each image with geometry metadata; generating a three-dimensional model of the rotor blade from the image metadata; and re-projecting the images on the basis of the three-dimensional model to obtain a composite re-projection image of the rotor blade. Also provided is a wind turbine rotor blade imaging arrangement.

A wind turbine blade measurement system for optically determining a torsion of a wind turbine blade is disclosed. The wind turbine blade measurement system comprises: a wind turbine blade, which is configured to be mounted to a hub of a wind turbine, a first camera, and an auxiliary camera. The first camera is mounted in a fixed position on a support structure on an exterior surface of the root section of the wind turbine blade and arranged so as to measure along the spanwise direction of the wind turbine blade. The auxiliary camera is arranged at a position outside of the wind turbine blade, the auxiliary camera being arranged so as to being able to carry out measurements of a plurality of sets of markers arranged on the surface of the wind turbine blade and an orientation of at least one of the support structure and the first camera.

A computer system suitable for estimating the expected change in annual energy production (AEP) of a wind turbine due to structural deterioration of blades of the wind turbine, said computer system being arranged to execute the following steps: loading a dataset representing estimated lift and drag curves at specific radial locations along the original blade of the wind turbine, building a baseline BEM model of the wind turbine based on said estimated lift and drag curves of the original blade and analysing the model to provide a baseline AEP estimation of the wind turbine with original blades, loading a dataset representing aerodynamic effects of identified structural deteriorations at specific radial locations along each of the blades of the wind turbine, using the dataset of aerodynamic effects to generate modified lift and drag curves at specific radial locations along each of the blades.

Methods, apparatuses, and systems for collecting the installation error of the wind vane are provided. The image of the blades of the wind turbine and the outer rotor of the generator is obtained. It is determined whether the wind vane is aligned with the center line of the wind turbine, according to a relationship between the center line of the wind turbine and the orienting plane of the wind vane in the image. In a case that the wind vane is not aligned with the center line of the wind turbine, the deviation angle between the wind vane and the center line of the wind turbine is calculated, and a direction of the wind vane is corrected according to the deviation angle. Therefore, installation errors of the wind vane are accurately determined and corrected, and accuracy is improved for installation of the wind vane.

A method for protecting a wind turbine from an extreme change in wind direction includes receiving a wind direction and/or a wind speed at the wind turbine. When a change in the wind direction or the wind speed exceeds a predetermined threshold, the method includes determining a margin to stall and/or zero lift of the at least one rotor blade of the wind turbine as a function of an angle of attack or change in the angle of attack at a blade span location of at least one rotor blade of the wind turbine. The method also includes implementing a corrective action for the wind turbine (without shutting down the wind turbine) when the margin to stall and/or zero lift exceeds a predetermined value so as to avoid stall and/or negative lift on the at least one rotor blade during operation of the wind turbine.

A device for optically monitoring a moving component includes at least one first camera, the image detection region of which can be controlled by a tracking device and which is configured to capture at least one image of at least a part of the moving component, wherein the device further includes at least one second camera, which is configured to capture at least one image of the moving component. The device further includes an open-loop or closed-loop control unit, which receives image data of the second camera and which generates an open-loop or closed-loop control signal and transmits the open-loop or closed-loop control signal to the tracking device.

A robot serves for inspecting rotor blades of wind energy installations. A frame construction includes an inner opening surrounding a rotor blade during use and a plurality of propellers for a vertical flying movement of the robot. A rotor blade state detection system disposed at the frame construction detects the state of the rotor blades. Preferably a power and/or data cable is provided for connecting the robot during use to a control and evaluation station provided, for example, on the ground.

Provided is a method for monitoring one or more wind turbines in a wind farm, each wind turbine having a rotor with rotor blades which are rotatable around a rotor axis, wherein one or several times during the operation of the wind farm a process is performed that includes i) obtaining a digital image of the respective rotor blade, the image being a current image taken by a camera looking at the respective rotor blade; ii) determining one or more operation characteristics of the respective rotor blade by processing the image by a trained data driven model, where the image is fed as a digital input to the trained data driven model and the trained data driven model provides the one or more operation characteristics of the respective rotor blade as a digital output.

An automated turbine blade monitoring system that delivers on-demand photographs to avoid extensive labor costs from onsite inspections, which increases the frequency of blade inspections and ultimately extending the life of wind turbine blades is provided. Blade condition data can be collected remotely without sending technicians to the turbine, improving mean time between visits to the unit. An associated method, computer systems, and computer program products are also provided.