Method for determining mechanical damage to a rotor blade of a wind turbine
A method for detecting mechanical damage to a rotor blade of a wind turbine includes measuring vibrations of the rotor blade and generating a frequency-dependent vibration signal. A value of the signal energy over a predetermined frequency range of the vibration signal is determined at each of a number of measuring times and the respectively determined signal energy values are evaluated with respect to time in order to detect mechanical damage.
1. A method for identifying mechanical damage to a rotor blade of a wind turbine, comprising:
sensing vibrations of the rotor blade with an acceleration sensor;
generating a frequency-dependent vibration signal corresponding to the sensed vibrations for a predefined frequency range with a computing unit operably connected to the acceleration sensor;
integrating the frequency-dependent vibration signal over the predefined frequency range for a plurality of measurement instants to determine a signal energy measure for each measurement instant of the plurality of measurement instants with the computing unit; and
identifying mechanical damage in the rotor blade by (i) determining a damage intensity based on the respectively determined signal energy measures and comparing the damage intensity to a defined first threshold value with the computing unit, and (ii) comparing the respectively determined signal energy measures with corresponding signal energy measures of another rotor blade of the same wind turbine, and determining that a difference between time characteristics of the two signal energy measures exceeds a corresponding second threshold value,
wherein the predefined frequency range includes frequencies above 50 Hz and below 1000 Hz.
2. The method as claimed in claim 1 , wherein the predefined frequency range has a width of at least 50 Hz.
3. The method as claimed in claim 1 , wherein a frequency range of 150 Hz to 1000 Hz is used as the predefined frequency range.
4. The method as claimed in claim 1 , further comprising:
forming a difference between the respectively determined signal energy measures and a mean signal energy in the predefined frequency range; and
identifying the mechanical damage in the rotor blade based on the formed difference.
5. The method as claimed in claim 1 , wherein:
identifying the mechanical damage in the rotor blade further comprises comparing the respectively determined signal energy measures of the rotor blade with a mean value, over corresponding signal energy measures, of at least two rotor blades of the same wind turbine, and
the computing unit identifies the mechanical damage if a difference between time characteristics of the respectively determined signal energy measures and the mean value exceeds a corresponding third threshold value.
6. The method as claimed in claim 1 , wherein:
identifying the mechanical damage in the rotor blade further comprises comparing the respectively determined signal energy measures of the rotor blade with a reference value, and
the computing unit identifies the mechanical damage if a difference between time characteristics of the respectively determined signal energy measures and the reference value exceeds a corresponding third threshold value.
7. The method as claimed in claim 1 , wherein the predefined frequency range includes frequencies above 100 Hz.
8. The method as claimed in claim 1 , wherein the predefined frequency range includes frequencies below 500 Hz.
9. The method as claimed in claim 1 , wherein:
identifying the mechanical damage in the rotor blade further comprises comparing the respectively determined signal energy measures of the rotor blade with a mean value, over corresponding signal energy measures, of all rotor blades of the same wind turbine, and
the computing unit identifies the mechanical damage if a difference between time characteristics of the respectively determined signal energy measures and the mean value exceeds a corresponding third threshold value.
10. The method as claimed in claim 1 , wherein the acceleration sensor is mounted on the rotor blade.
11. The method as claimed in claim 1 , wherein the measurement instants of the plurality of measurement instants are each spaced apart in time.
12. A computing unit, configured to execute a method for identifying mechanical damage to a rotor blade of a wind turbine, the method comprising:
sensing vibrations of the rotor blade with an acceleration sensor operably connected to the computing unit;
generating a frequency-dependent vibration signal corresponding to the sensed vibrations for a predefined frequency range with the computing unit;
integrating the frequency-dependent vibration signal over the predefined frequency range for a plurality of measurement instants to determine a signal energy measure for each measurement instant of the plurality of measurement instants with the computing unit; and
identifying mechanical damage in the rotor blade by (i) determining a damage intensity based on the respectively determined signal energy measures and comparing the damage intensity to a defined first threshold value with the computing unit, and (ii) comparing the respectively determined signal energy measures with corresponding signal energy measures of another rotor blade of the same wind turbine, and determining that a difference between time characteristics of the two signal energy measures exceeds a corresponding second threshold value,
wherein the predefined frequency range includes frequencies above 50 Hz and below 1000 Hz.
13. A monitoring device for at least one rotor blade of a wind turbine, comprising:
at least one vibration sensor configured to sense vibrations of the rotor blade; and
a computing unit operably connected to the at least one vibration sensor and configured to execute a method for identifying mechanical damage to the rotor blade, the method comprising:
sensing vibrations of the rotor blade with the at least one vibration sensor;
generating a frequency-dependent vibration signal corresponding to the sensed vibrations for a predefined frequency range with the computing unit;
integrating the frequency-dependent vibration signal over the predefined frequency range for a plurality of measurement instants to determine a signal energy measure for each measurement instant of the plurality of measurement instants with the computing unit; and
identifying mechanical damage in the rotor blade by (i) determining a damage intensity based on the respectively determined signal energy measures and comparing the damage intensity to a defined first threshold value with the computing unit, and (ii) comparing the respectively determined signal energy measures with corresponding signal energy measures of another rotor blade of the same wind turbine, and determining that a difference between time characteristics of the two signal energy measures exceeds a corresponding second threshold value,
wherein the predefined frequency range includes frequencies above 50 Hz and below 1000 Hz.