Fos4x Gmbh

Vc Viii Polytech Holding Aps

Thomas Schauss

Florian Rieger

Mathias Müller

Mathias Muller

Matthias Schubert

Markus Schmid

Mathias Schubert

The invention relates to an assembly for monitoring and/or controlling a wind turbine. The assembly includes a first strain sensor for measuring a first blade bending moment of a rotor blade of a wind turbine in a first spatial direction; a second strain sensor for measuring a second blade bending moment of a rotor blade of a wind turbine in a second spatial direction, which differs from the first spatial direction; an arrangement for determining constant components of forces and moments of the rotor blades provided in the wind turbine; and a controller for combining the first blade bending moment, the second blade bending moment and the constant components.

Determining a blade bending moment with two load sensors per rotor blade and taking rotor data into consideration

The invention relates to a method by means of which a system that is capable of oscillating can be monitored. The method comprises detection of natural oscillation modes of the system that can oscillate as a function of at least one operating parameter and/or as a function of at least one environmental parameter of the system that is capable of oscillating, creation of a frequency distribution of the detected natural oscillating modes, division of the natural oscillating modes into frequency classes and, in at least one frequency class, determination of a mode profile over the operating parameter and/or over the environmental parameter.

Method for calibrating nominal frequencies

Embodiments of the invention describe a method for ascertaining a value of an ice buildup quantity on at least one rotor blade () of a wind turbine () and to the use thereof. The method has the steps of ascertaining a base value (G) for at least one natural frequency of the rotor blade when vibrations are excited in an ice buildup-free state; ascertaining a shift base factor for shifting the at least one natural frequency relative to the ice buildup-free state in the event of an ice buildup quantity which is increased by a specific value; detecting a measurement value or a measurement value curve of a measurement variable which is suitable for determining the current natural frequency of the rotor blade (); determining the current natural frequencies of the rotor blade (); and deriving a current shift factor by comparing the current natural frequencies with the base value (G), comparing the current shift factor with the shift base factor, and deriving a value for the ice buildup quantity using the comparison.

Method for ascertaining a value of an ice buildup quantity on at least one rotor blade of a wind turbine, and use thereof

Embodiments describe a method for predicting the accumulation of ice on a rotor blade () of a wind turbine () and the use thereof. The method comprises defining an upper threshold value (So) and/or a lower threshold value (Su) for a system variable (S) which is associated with the mass of the rotor blade () and/or with the mass of an ice attachment () of the rotor blade (); acquiring system variable data during an acquisition time period (T); carrying out a compensation calculation of the curve profile for a prediction time period (&#x394;t', &#x394;t&#x2032;, &#x394;t&#x2032;) from the system variable data which were acquired during a partial time period (&#x394;t, &#x394;t, &#x394;t) of the acquisition time period (T) in order to obtain a prediction curve (N, N, N); carrying out at least one further compensation calculation of the curve profile for a further prediction time period (&#x394;t&#x2032;, &#x394;t&#x2032;, &#x394;t&#x2032;) from the system variable data which were acquired during another partial time period (&#x394;t, &#x394;t, &#x394;t) of the acquisition time period (T) in order to obtain a further prediction curve (N, N, N); determining whether or not the upper threshold value (So) will be exceeded by one or more of the prediction curves (N, N, N) in future and/or whether the lower threshold value (Su) will not be undershot by one or more of the prediction curves (N, N, N) in the future; and outputting the result of the determination; and outputting the result of the determination.

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Gilching, Germany

Thomas Schauss