Managing non-destructive evaluation data
First Claim
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.
1 Assignment
0 Petitions
Accused Products
Abstract
Methods manage non-destructive evaluation (“NDE”) data. NDE data for an asset is received and at least one alignment algorithm to align the NDE data to a simulated model associated therewith is determined. The NDE data is automatically aligned to the simulated model, a display representation that visually represents the aligned NDE data on the simulated model is generated, and information about the aligned NDE data is exported. Additionally, second NDE data associated with the at least a portion of the asset may also be received, at least one alignment algorithm to align the data determined, and the second NDE data aligned. Respective indications associated with the first and second NDE data may be determined and visually represented on the simulated model. Moreover, a shot descriptor file may be analyzed to determine whether additional NDE data is required to complete an alignment of NDE data.
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Citations
23 Claims
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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:
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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. - View Dependent Claims (2, 3, 4, 5)
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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:
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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. - View Dependent Claims (7, 8, 10, 11)
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- 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.
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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:
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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. - View Dependent Claims (14, 15, 16, 17, 18, 19, 21, 22)
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- 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.
Specification