A method for determining control parameters of a turbine by consideration of component-relevant temperature limits is provided. The method considers the impact of individual turbine manufacturing tolerances on the turbine performance in a turbine model to determine control parameters for the turbine without damaging it. The method includes the steps of: receiving, by an interface, one or more measurement values of turbine sensors; determining, by a processing unit, at components or turbine places being equipped or not with turbine sensors, one or more virtual parameters and/or temperatures by a simulation of the operation of the turbine, the simulation being made with a given turbine model in which the one or more measurement values and one or more characteristic values of the wind turbine are used as input parameters; and deriving, by the processing unit, the control parameters for the wind turbine from the one or more virtual parameters and/or temperatures.

Embodiments of the present disclosure include a retrofit auxiliary nacelle yaw position control system that enables advanced nacelle yaw position control of a wind turbine by comparing a desired nacelle yaw position signal with the actual nacelle yaw position and generating a virtual relative wind direction signal that is provided to the existing turbine control unit. This method and system enable implementation of wake steering, collective yaw optimization and dynamic yaw optimization of a collection of wind turbines referred to as a wind plant. Modification of the existing turbine control unit is not required, greatly simplifying the implementation process of advanced yaw control strategies on existing wind plants.

The present disclosure relates to a method for operating a wind power installation, to an associated wind power installation and to a wind farm. The method comprises the following steps: determining at least two, preferably at least three and particularly preferably all the environmental parameters of the environment of the wind power installation selected from the list consisting of: turbulence intensity, air density, air temperature and shear; providing boundary conditions for operating the wind power installation, the boundary conditions containing at least one from a load boundary condition, a noise level boundary condition and a power boundary condition; adapting an operational control, in particular an operating point and/or an operating characteristic, of the wind power installation on the basis of a combination of the changes in the determined environmental parameters taking into consideration the boundary conditions.

The present invention provides a hydraulic turbine cavitation acoustic signal identification method based on big data machine learning. According to the method, time sequence clustering based on multiple operating conditions under the multi-output condition of the hydraulic turbine set is performed by utilizing an neural network, characteristic quantities of the hydraulic turbine set under a steady condition in a healthy state is screened; a random forest algorithm is introduced to perform feature screening of multiple measuring points under steady-state operation of the hydraulic turbine set, optimal feature measuring points and optimal feature subsets are extracted, finally a health state prediction model is constructed by using gated recurrent units; whether incipient cavitation is present in the equipment is judged. The present invention can effectively identify the occurrence of incipient cavitation in the hydraulic turbine set, reducing unnecessary shutdown of the equipment and prolonging the service life.

A backlash measuring method is provided for measuring backlash at a plurality of different times. The backlash measuring method includes: a rotation amount calculating step of braking a ring gear relative to a second portion while contact between a target tooth and the ring gear achieved in a contacting step is maintained, causing a target pinion to rotate toward a second side in a rotation direction opposite to the first side with a driving force less than a braking force applied to brake the ring gear relative to the second portion until the target tooth touches the ring gear at a tooth surface facing the second side, and calculating an amount of rotation of the target pinion; and a measuring step of measuring backlash between the ring gear and the target pinion based on the amount of rotation of the target pinion calculated in the rotation amount calculating step.

A measuring arrangement for a wind power installation for determining a thrust force of the rotor. A measuring device detects a first bending moment of the tower at a first height and a second bending moment of the tower at a second height, which is different from the first height. The first and second bending moments are in this case made up in each case of a natural moment component, a pitching moment component and a thrust force component. A thrust force determining unit determines a thrust force of the rotor based on a comparison of the at least first and second bending moments, so that the natural moment component and the pitching moment component cancel one another out.

The invention relates to a method for operating a wind turbine. The method comprises measuring a torsion between a first point (10) of a rotor blade (100) of a wind turbine and a second point (12) spaced apart from the first point, and determining at least one parameter, in particular an actual value of the at least one parameter, of the wind turbine based on the measured torsion, wherein the at least one parameter is selected from the group comprising an angle of attack of the rotor blade (100), a pitch angle, a wind speed, an angle of incidence, and a flow speed.

A method of motoring a gas turbine engine is provided. The method comprises: determining a first speed to motor a gas turbine engine for cooling; motoring a gas turbine engine at the first speed; detecting a gap parameter of a gas turbine engine; detecting a speed parameter of the gas turbine engine; detecting a vibration parameter of the gas turbine engine; and motoring the gas turbine at a second speed in response to at least one gap parameter, speed parameter, and vibration parameter.

A system and method are configured to monitor changes associated with an air gap in a brake assembly of a wind turbine yaw drive by: (1) receiving one or more sensor signals from one or more sensors that are indicative of changes associated with the air gap; and (2) comparing the changes associated with the air gap to certain thresholds to determine if the air gap is in need of attention. The system includes at least one proximity sensor arranged adjacent to the air gap, to monitor the air gap, and a controller. The controller is configured to receive the sensor signal(s) indicative of the changes associated with the air gap. The controller also is configured to compare the changes associated with the air gap to one or more air gap thresholds, and to implement a control action based on this comparison.

A yaw backup system is provided. The yaw backup system includes an energy storage medium for storing auxiliary power. The yaw backup system also includes a yaw controller for coordinating delivery of power from the energy storage medium to a yaw motor for controlling a yaw angle of a wind turbine during grid loss conditions. The yaw controller executes the steps of receiving wind direction signals over time from a sensor, altering a tolerance level of a wind turbine based on changes in the wind direction signals over time and controlling delivery of power to the yaw motor from the auxiliary power of the energy storage medium based on the tolerance level to control the yaw angle for reducing a load on the wind turbine induced by wind.