Managing non-destructive evaluation data

1. A method of managing non-destructive evaluation (NDE) data in a system of the type that includes at least one processing unit and a memory, the method comprising:

receiving NDE data for at least a portion of an asset, including receiving inspection information associated with the at least a portion of the asset, wherein the asset comprises a physical object from which the NDE data is collected during non-destructive evaluation of the asset, and wherein the inspection information includes at least one of data that is usable to align the NDE data, data that indicates a potential problem with the at least a portion of the asset or data about the at least a portion of the asset;

determining, using the at least one processing unit, and after generation of a simulated model of at least a portion of the asset, at least one alignment algorithm from among a plurality of algorithms to align the NDE data to the simulated model of the at least a portion of the asset based upon at least one of the NDE data and the inspection information;

automatically aligning the NDE data to the simulated model with the at least one alignment algorithm using the at least one processing unit to align the NDE data with a corresponding location on the simulated model of the at least a portion of the asset; and

exporting information associated with the aligned NDE data for analysis.

2. The method of claim 1 , further comprising:

generating a display representation that visually represents the aligned NDE data on the simulated model.

3. The method of claim 1 , wherein the asset is of a particular type of asset, the method further comprising:

determining a trend associated with the particular type of asset based at least in part on the inspection information.

4. The method of claim 3 , further comprising:

generating a display representation that visually represents the aligned NDE data and the determined trend on the simulated model.

5. The method of claim 3 , wherein the inspection information includes data that indicates a potential problem with the at least a portion of the asset, and wherein determining the trend associated with the particular type of asset is based on the indicated potential problem.

6. A method of managing non-destructive evaluation (NDE) data in a system of the type that includes at least one processing unit and a memory, the method comprising:

receiving first NDE data for at least a portion of an asset, including receiving first inspection information associated with the at least a portion of the asset, wherein the asset comprises a physical object from which the first NDE data is collected during non-destructive evaluation of the asset, and wherein the first inspection information includes at least one of data that is usable to align the first NDE data, data that indicates a potential problem with the at least a portion of the asset or data about the at least a portion of the asset;

receiving second NDE data for the at least a portion of the asset, including receiving second inspection information associated with the at least a portion of the asset, wherein the second NDE data is collected during non-destructive evaluation of the asset, and wherein the second inspection information includes at least one of data that is usable to align the second NDE data, data that indicates a potential problem with the at least a portion of the asset or data about the at least a portion of the asset;

determining a first alignment algorithm from among a plurality of algorithms to align the first NDE data to a simulated model of the at least a portion of the asset based upon at least one of the first NDE data and the first inspection information;

determining a second alignment algorithm from among the plurality of algorithms to align the second NDE data to the simulated model of the at least a portion of the asset based upon at least one of the second NDE data and the second inspection information;

automatically aligning the first NDE data and second NDE data to the simulated model with the respective first alignment algorithm and second alignment algorithm using the at least one processing unit to align the first NDE data and the second NDE data with a corresponding location on the simulated model of the at least a portion of the asset;

determining a first indication of a first potential problem associated with the first NDE data based upon the first inspection information;

determining a second indication of a second potential problem associated with the second NDE data based upon the second inspection information; and

generating a display representation that visually represents the first indication and the second indication on the simulated model.

7. The method of claim 6 , further comprising:

determining a first and second location for the respective first and second indications on the simulated model based upon the respective first and second inspection information.

8. The method of claim 7 , wherein generating the display representation further comprises:

visually representing an uncertainty of the determined first location for the first indication; and

visually representing an uncertainty of the determined second location for the second indication.

9. The method of 8 , wherein visually representing the uncertainty of the determined first location includes visually representing a probability density of a distance from the determined first location for the first indication.

10. The method of claim 8 , wherein visually representing the uncertainty of the determined first location includes adjusting a color component of at least a portion of the display representation to indicate the uncertainty of the determined first location for the first indication.

11. The method of claim 8 , further comprising:

exporting information associated with the uncertainty of the determined first and second locations for the respective first and second indications for analysis.

12. The method of claim 9 , wherein the probability density of the distance from the determined first location for the first indication is a Gaussian distribution of the distance from the determined first location for the first indication.

13. A method of managing non-destructive evaluation (NDE) data in a system of the type that includes at least one processing unit and a memory, the method comprising:

receiving first NDE data for at least a portion of a first asset of a particular type of asset, including receiving first inspection information associated with the at least a portion of the first asset, wherein the first asset comprises a physical object of a particular type from which the first NDE data is collected during non-destructive evaluation of the first asset, and wherein the first inspection information includes at least one of data that is usable to align the first NDE data, data that indicates a potential problem with the at least a portion of the first asset;

receiving second NDE data for the at least a portion of a second asset of the particular type of asset, including receiving second inspection information associated with the at least a portion of the second asset, wherein the second asset comprises a physical object of the particular type from which the second NDE data is collected during non-destructive evaluation of the second asset, and wherein the second inspection information includes at least one of data that is usable to align the second NDE data, data that indicates a potential problem with the at least a portion of the second asset;

retrieving a simulated model of the at least a portion of the particular type of asset associated with the at least a portion of the first asset and the at least a portion of the second asset;

determining a first alignment algorithm from among a plurality of algorithms to align the first NDE data to the simulated model of the at least a portion of the particular type of asset based upon at least one of the first NDE data and the first inspection information;

determining a second alignment algorithm from among a plurality of algorithms to align the second NDE data to the simulated model of the at least a portion of the particular type of asset based upon at least one of the second NDE data and the second inspection information;

automatically aligning the first NDE data and second NDE data to the simulated model with the respective first alignment algorithm and second alignment algorithm using the at least one processing unit to align the first and second NDE data with corresponding locations on the simulated model of the at least a portion of the particular type of asset;

determining a first indication of a first potential problem associated with the first NDE data based upon the first inspection information; and

determining a second indication of a second potential problem associated with the second NDE data based upon the second inspection information.

14. The method of claim 13 , further comprising:

generating a display representation that visually represents the first indication and the second indication on the simulated model.

15. The method of claim 13 , further comprising:

determining a trend associated with the at least a portion of the particular type of asset based at least in part on the first indication and the second indication.

16. The method of claim 14 , further comprising:

in response to interaction with the visual representation of the first indication, visually representing the first indication and the aligned first NDE data on the simulated model.

17. The method of claim 14 , further comprising:

determining a first and second location for the respective first and second indications on the simulated model based upon the respective first and second inspection information.

18. The method of claim 15 , further comprising:

generating a display representation of the at least a portion of the particular type of asset that visually represents the determined trend on the simulated model.

19. The method of claim 17 , wherein generating the display representation further comprises:

visually representing an uncertainty of the determined first location for the first indication; and

visually representing an uncertainty of the determined second location for the second indication.

20. The method of 19 , wherein visually representing the uncertainty of the determined first location includes visually representing a probability density of a distance from the determined first location for the first indication.

21. The method of claim 19 , wherein visually representing the uncertainty of the determined first location includes adjusting a color component of at least a portion of the display representation to indicate the uncertainty of the determined first location for the first indication.

22. The method of claim 19 , further comprising:

exporting information associated with the uncertainty of the determined first and second locations for the respective first and second indications for analysis.

23. The method of claim 20 , wherein the probability density of the distance from the determined first location for the first indication is a Gaussian distribution of the distance from the determined first location for the first indication.