A radar system for a wind turbine is provided. The radar system comprises a first radar unit (42) and a control unit (41) arranged to receive an output from the radar unit, the control unit comprising a central processing unit. The central processing unit is configured to perform a first function of determining at least one property of aircraft within a monitoring zone in the vicinity of the wind turbine and controlling a warning device to output a warning signal to detected aircraft based on the determined property; and perform a second function of determining at least one parameter of prevailing weather in the vicinity of the wind turbine. A corresponding method is also provided.

A main shaft assembly of a wind turbine and method for manufacturing the same are provided. Accordingly, the main shaft assembly includes a structural/shaft body defining a cavity therein. The shaft body is configured to transmit a load of the wind turbine developed in response to the wind. An inner body is located within the cavity. The inner body is non-loadbearing with respect to the load. At least one sensor is coupled to the inner body and positioned within the cavity for detecting a deflection of the shaft body in response to the load.

The present invention concerns a method of optically assessing a wind power installation or a part thereof, in particular a rotor blade, including the steps: orienting a camera on to a region to be assessed, recording a photograph of the region to be assessed with the camera, detecting the position of the photographed region, and associating the ascertained position with the photographed region.

The invention relates to a method for the individual pitch control of the rotor blades of a wind turbine. The method comprises: measuring an acceleration by means of an acceleration sensor in a rotor blade of the wind turbine; high-pass filtering of a signal of the acceleration sensor in order to determine a time-variant variable; and setting the pitch of the first rotor blade of the wind turbine using the time-variant variable, said pitch setting being part of an individual pitch control.

Described is a system for monitoring deflection of turbine blades of a wind turbine comprising a tower. The system comprises a position detecting apparatus mounted to the wind turbine, the position detection apparatus comprising position detection components each detecting a presence or absence of a corresponding one of the segments of the turbine blades; and a deflection controller configured to receive the presence or absence detection and to use the presence or absence detection to determine a distance of each of the segments of the turbine blades relative to the tower, whereby the distance of each of the segments of the turbine blades relative to the tower is representative of the deflection of the turbine blades.

A ceiling fan includes a fan body, a sensing unit and a control unit. The fan body includes a base seat, a plurality of fan blades mounted to the base seat, and a motor mounted to the base seat for driving rotation of the fan blades about the base seat. The sensing unit includes an outer casing, a room temperature sensor, and a body temperature sensor. The control unit is mounted to the fan body, in communication with the room temperature sensor, the body temperature sensor and the motor, and operable to adjust a rotational speed of the fan blades by controlling the motor according to a room temperature and a body temperature respectively sensed by the room temperature sensor and the body temperature sensor.

A method for controlling a wind power plant is described. The method comprises measuring a sound emission by means of at least one pressure sensor secured to the rotor blade; detecting a characteristic aeroacoustic sound for at least one stall based on the sound emission; and controlling or regulating one or several components of the wind power plant based on the detection of the characteristic aeroacoustic sound of the stall.

The present disclosure relates to methods and systems for measuring deflection of blades of a wind turbine. Examples include a light emitting and collection device mounted to the nacelle and configured to emit light in a direction within a substantially vertical plane. Examples include a method for operating a wind turbine including emitting light above a hub, receiving the light when reflected by a blade of the wind turbine, and, if the level of blade deflection is above a threshold, reducing blade loading of the blade before the blade reaches a vertically downward position. Examples include a method for monitoring deflection of a rotor blade of a wind turbine comprising emitting a light sheet, collecting reflections of the emitted light, and determining deflection of the rotor blade by determining a time during which the blade reflects the emitted light sheet.

There is provided a method of detecting lightning strikes in a wind turbine rotor blade. The wind turbine rotor blade has a lightning protection system. A digital camera or an optical-digital heat sensor is provided in the region of a rotor blade root, in a hub of the wind turbine or in or on a tower of the wind turbine in such a way that the digital camera at least partially optically detects a part of the lightning protection system. The part of the lightning protection system is optically detected by the camera to carry out optical temperature detection. An increase in temperature of the part of the lightning protection system is detected based on the optical detection by the camera.

Systems and methods for building predictive and prescriptive analytics of wind turbines generate a historical operational dataset by loading historical operational SCADA data of one or more wind turbines. Each sensor measurement is associated with an engineering tag and at least one component of a wind turbine. The system creates one or more performance indicators corresponding to one or more sensor measurements, and applies at least one data clustering algorithm onto the dataset to identify and label normal operation data clusters. The system builds a normal operation model using normal operational data clusters with Efficiency of Wind-To-Power (EWTP) and defines a statistical confidence range around the normal operation model as criterion for monitoring wind turbine performance. As real-time SCADA data is received by the system, the system can detect an anomalous event, and issue an alert notification and prescriptive early-action recommendations to a user, such as a turbine operator, technician or manager.