Abstract: A system includes an endoscope connector and an endoscope adapter. The endoscope connector includes a first portion. The first portion includes a first magnetic coupling element and a first planar portion that is perpendicular to an axial direction of the endoscope connector. The endoscope adapter includes a second planar portion. The second planar portion includes a second magnetic coupling element and a substantially planar surface that is perpendicular to an axial direction of the endoscope adapter. The endoscope connector is non-mechanically attachable to the endoscope adapter using the first magnetic coupling element and the second magnetic coupling element. The first planar portion is alignable with the second planar portion such that: electroconductive contacts of the endoscope connector are axially aligned with electroconductive pins of the endoscope adapter and a port of the endoscope connector is axially aligned with a corresponding insertion port of the endoscope adapter.

Abstract: An active mechanical waveguide including an ultrasonically-transmissive material and a plurality of reflection points defined along a length of the waveguide may be driven at multiple resonant frequencies to sense environmental conditions, e.g., using tracking of a phase derivative. In addition, frequency-dependent reflectors may be incorporated into an active mechanical waveguide, and a drive frequency may be selected to render the frequency-dependent reflectors substantially transparent.

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.

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.

Abstract: A sensor with a mechanical waveguide may be characterized using test ultrasonic signals to generate a baseline signature, and the baseline signature may later be used to detect faults in the sensor.

Abstract: An active mechanical waveguide including an ultrasonically-transmissive material and a plurality of reflection points defined along a length of the waveguide may be driven at multiple resonant frequencies to sense environmental conditions, e.g., using tracking of a phase derivative. In addition, frequency-dependent reflectors may be incorporated into an active mechanical waveguide, and a drive frequency may be selected to render the frequency-dependent reflectors substantially transparent.

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.

Abstract: A sensor with a mechanical waveguide maybe characterized using test ultrasonic signals to generate a baseline signature, and the baseline signature may later be used to detect faults in the sensor.

Abstract: An active mechanical waveguide including an ultrasonically-transmissive material and a plurality of reflection points defined along a length of the waveguide may be dampened using a damping device on a plurality of support members for the waveguide and/or using a damping device on the waveguide itself, and variable spacing of support members and/or constant tensioning of the waveguide may also be used.

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.

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.

Abstract: Embodiments of the invention include methods to manage non-destructive evaluation (“NDE”) data. The method includes receiving NDE data for at least a portion of an asset along with inspection information associated with the at least a portion of the asset, and determining at least one alignment algorithm to align the NDE data to a simulated model of the at least a portion of the asset based on at least one of the NDE data or the inspection information. The method further includes automatically aligning The NDE data to the simulated model with the at least one alignment algorithm and analyzing the aligned NDE data on the simulated model to determine coverage of the simulated model by the NDE data. Additional methods include retrieving NDE data that has previously been aligned to the simulated model and determining coverage or determining trends associated with indications thereof.

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.

Abstract: A method, apparatus and program product manage non-destructive evaluation (“NDE”) data. NDE data and inspection information for at least a portion of an asset are received and at least one alignment algorithm to align the NDE data to a simulated model of the at least a portion of the asset is determined based upon at least one of the NDE data and the inspection information. The NDE data is automatically aligned to the simulated model with the at least one alignment algorithm and a display representation that visually represents the aligned NDE data on the simulated model is generated.

Abstract: Embodiments of the invention include methods to manage non-destructive evaluation (“NDE”) data. The method includes receiving NDE data for at least a portion of an asset along with inspection information associated with the at least a portion of the asset, and determining at least one alignment algorithm to align the NDE data to a simulated model of the at least a portion of the asset based on at least one of the NDE data or the inspection information. The method further includes automatically aligning The NDE data to the simulated model with the at least one alignment algorithm and analyzing the aligned NDE data on the simulated model to determine coverage of the simulated model by the NDE data. Additional methods include retrieving NDE data that has previously been aligned to the simulated model and determining coverage or determining trends associated with indications thereof.

Abstract: A method, apparatus and program product manage non-destructive evaluation (“NDE”) data. NDE data and inspection information for at least a portion of an asset are received and at least one alignment algorithm to align the NDE data to a simulated model of the at least a portion of the asset is determined based upon at least one of the NDE data and the inspection information. The NDE data is automatically aligned to the simulated model with the at least one alignment algorithm and a display representation that visually represents the aligned NDE data on the simulated model is generated.

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.