Status monitoring for mechanical plants, in particular wind turbines

1. A method for monitoring a status of at least one component of a wind turbine, comprising:

receiving an evaluation signal that is formed based on values of a measurement quantity recorded by a sensor in the wind turbine;

determining at least one parameter data set based on at least one of the evaluation signal as a function of a signal that is representative for a stress of the wind turbine or a spectral analysis of the evaluation signal;

determining a spread of the at least one parameter data set; and

determining the status of the component of the wind turbine as a function of the spread, wherein the status determination is performed independently of the vibration frequencies of at least one of a rotating component of the wind turbine or bearings of the component of the wind turbine that are induced by damage.

2. The method according to claim 1 , wherein the at least one parameter data set is determined as a function of values of the evaluation signal that are selected based on the evaluation signal as a function of the signal that is representative for the stress of the wind turbine.

3. The method according to claim 1 , wherein the at least one parameter data set includes values that are selected based on the evaluation signal as a function of the signal that is representative for the stress of the wind turbine.

4. The method according to claim 1 , wherein one or multiple parameter data sets are formed, which respectively include temporal mean values of values of the evaluation signal that are determined in connection with values of the signal, which is representative for the stress of the wind turbine, within a predetermined interval of values.

5. The method according to claim 4 , wherein the spread is between temporal mean values of different parameter data sets and/or for the temporal mean values of a parameter data set.

6. The method according to claim 1 , wherein at least one parameter data set is formed, which includes values of the evaluation signal that are determined within a predetermined interval of values in connection with values of the signal that is representative for the stress of the wind turbine, and wherein the spread is of the values included in the parameter data set in successive time intervals.

7. The method according to claim 1 , wherein at least one parameter data set is formed that includes differences between values of the evaluation signal that are determined in connection with a transition of the signal, which is representative of the stress of the wind turbine, from a first into a second interval of values, and wherein the spread indicates the values of the differences.

8. The method according to claim 1 , wherein at least one parameter data set is formed that includes values of the evaluation signal that are determined in connection with temporal sections of the signal, which is representative for the stress of the wind turbine, in which the courses of said signal are similar to one another.

9. The method according to claim 8 , wherein the spread is representative within temporal sections of the evaluation signal that correspond to the temporal sections of the signal that is representative of the stress of the wind turbine in which the courses of this signal are similar to one another.

10. The method according to claim 1 , wherein amplitudes for spectral portions with regard to most temporal sections of the evaluation signal are determined based on spectral analysis and wherein at least one parameter data set is formed based on the determined amplitudes.

11. The method according to claim 10 , wherein the spread includes values of amplitudes of a spectral portion with regard to most temporal sections.

12. The method according to claim 1 , wherein an indicator of a damage of a component is identified when the spread reaches a predetermined threshold value.

13. The method according to claim 1 , wherein the measurement quantity is a temperature or wherein the signal that is representative of the stress of the wind turbine indicates a power generated by the wind turbine.

14. A non-transitory computer readable medium storing a computer program comprising a program code that prompts a computer system to perform an operation of monitoring of a status of at least one component of a wind turbine when the computer program is run on the computer system, the operation comprising:

receiving an evaluation signal that is formed based on values of a measurement quantity recorded by a sensor in the wind turbine;

determining at least one parameter data set based on at least one of the evaluation signal as a function of a signal that is representative for a stress of the wind turbine or based on a spectral analysis of the evaluation signal;

determining a spread of the at least one parameter data set; and

determining the status of the component of the wind turbine as a function of the spread, wherein the status determination is performed independently of the vibration frequencies of at least one of a rotating component of the wind turbine or bearings of the component of the wind turbine that are induced by damage.

15. A monitoring device for monitoring a status of at least one component of a wind turbine, wherein the monitoring device is configured to, at least:

receive an evaluation signal that is formed based on values of a measurement quantity that is recorded by a sensor in the wind turbine,

determine at least one parameter data set based on at least one of the evaluation signal as a function of a signal that is representative for the stress of the wind turbine or based on a spectral analysis of the evaluation signal,

identify a spread of the at least one parameter data set, and

determine the status of the component of the wind turbine as a function of the spread, wherein the status determination is performed independently of vibration frequencies of at least one of a rotating component of the wind turbine or bearings of the component of the wind turbine induced by damage.

16. The non-transitory computer readable medium according to claim 14 , wherein the at least one parameter data set is determined as a function of values of the evaluation signal that are selected based on the evaluation signal as a function of the signal that is representative for the stress of the wind turbine.

17. The non-transitory computer readable medium according to claim 14 , wherein the at least one parameter data set includes values that are selected based on the evaluation signal as a function of the signal that is representative for the stress of the wind turbine.

18. The non-transitory computer readable medium according to claim 14 , wherein one or multiple parameter data sets are formed, which respectively include temporal mean values of values of the evaluation signal that are determined in connection with values of the signal, which is representative for the stress of the wind turbine, within a predetermined interval of values.

19. The non-transitory computer readable medium according to claim 18 , wherein the spread is representative of a spread between temporal mean values of different parameter data sets and/or for the temporal mean values of a parameter data set.

20. The monitoring device of claim 15 , wherein the at least one parameter data set is determined as a function of values of the evaluation signal that are selected based on the evaluation signal as a function of the signal that is representative for the stress of the wind turbine.