A method and apparatus for monitoring formation of ice on a wind turbine blade are provided. The method includes: capturing an image of the blade through a camera; detecting a region of the blade from the captured image; clearing image information of a background region from the captured image, which is in the captured image except for the region of the blade, to obtain a blade image; and inputting the obtained blade image into a recognition model of ice on a blade obtained by training on a sample set, to determine whether ice is on the captured blade, wherein the sample set comprises a plurality of blade images indicating that ice is on blades.

Methods, systems and apparatus, including computer programs encoded on computer storage media for an unmanned aerial vehicle (UAV) wind turbine inspection system. One of the methods includes obtaining first sensor information by an unmanned aerial vehicle (UAV), the first sensor information describing physical aspects of a wind turbine, including one or more blades of the wind turbine. An orientation of the blades of the wind turbine are determined based on the obtained first sensor information. A flight pattern for the UAV to inspect the blades of the wind turbine is determined, the flight pattern being based on the determined orientation of the blades. Each of the blades of the wind turbine is inspected by the UAV according to the determined flight pattern, the inspection including obtaining second sensor information describing the blades of the wind turbine.

A method and apparatus for monitoring formation of ice on a wind turbine blade are provided. The method includes: capturing an image of the blade through a camera; detecting a region of the blade from the captured image; clearing image information of a background region from the captured image, which is in the captured image except for the region of the blade, to obtain a blade image; and inputting the obtained blade image into a recognition model of ice on a blade obtained by training on a sample set, to determine whether ice is on the captured blade, wherein the sample set comprises a plurality of blade images indicating that ice is on blades.

The device recording the collisions of flying animals with wind turbines and indicating where they fell on the ground includes at least two sensors arranged on at least two different heights of the wind turbine tower. The sensors have a range optimally in a direction perpendicular to the wind turbine tower and are connected with the control and recording unit by wire or wireless data transmission.

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.

An exemplary system for determining an operating condition for a wind turbine having a rotor, generator, and gearbox, includes a plurality of sensors mounted within the nacelle of the wind turbine. The system also includes a pair proximity sensors are mounted adjacent to the rotor for measuring rotor displacement. A first processor is connected to receive sensor data from the pair of proximity sensors and is configured to partition the received sensor data into predefined datasets, and a second processor configured to format the predefined datasets for transmission over a network to a processing computer.

Provided is a rotor blade for a wind turbine, including: at least one camera mounted inside the rotor blade and adapted to acquire an image of a portion of an inner surface of the rotor blade.

A tower clearance real-time monitoring system (100) and a method therefor. The tower clearance monitoring system (100) comprises an image capture device (101), a blade position processing device (102) and a core algorithm processing device (103). The image capture device (101) is used to capture an image of a wind turbine in an operating state, and the image comprises a blade portion and a tower portion; The blade position processing device (102) is used to determine whether the captured image represents valid data so as to send valid data to the core algorithm processing device (103). The core algorithm processing device (103) is used to use valid data to calculate a tower clearance value for a blade, and to send a calculation result to a wind turbine main control system (104) of a wind turbine.

A system of detecting avian casualties includes an imaging capture device mounted on a nacelle or tower of a wind turbine. The thermal imaging device has a field of view, and the thermal imaging device is connected to a computing system configured to determine the number of avian casualties caused by the plurality of blades or by collision with any part of the turbine.

A method of adjusting at least one rotor blade of a wind turbine which includes the steps of receiving a command for adjustment of the rotor blade at an adjustment speed, ascertaining a current moment of inertia of the rotor blade and acceleration of the rotor blade until reaching the adjustment speed, wherein the acceleration until reaching the adjustment speed is limited in dependence on the ascertained moment of inertia. A system and a wind turbine.