Abstract: Data indicative of displacement of an acoustic probe assembly (or motion of an imaging aperture associated therewith) can be extracted from acquired acoustic echo data to perform motion tracking without requiring a separate mechanical motion sensor. As an illustrative example, a deterministic noise pattern associated with a particular probe location can be identified and motion of the noise pattern can be used to provide an estimate of probe assembly motion. Such an estimate can be used to facilitate imaging corresponding to multiple probe locations in support of acoustic non-destructive testing (NDT) such as in relation to Phased Array Ultrasound Test (PAUT).

Abstract: In acoustic inspection, if a probe assembly fails to maintain a controlled lateral position relative to a structure such as a weld being inspected, as the probe assembly is translated along a scan axis, a nearby flaw could be missed or mistaken for an earlier-observed feature. Apparatus and techniques described herein can assist in tracking the lateral displacement of a probe assembly relative to a region of interest such as an edge or centerline of a weld. Such a technique can, for example, be used to gate the received ultrasonic data or to update a presentation to a user, such as for updating an overlay (e.g., a weld template) and ruler position in an S-scan or other image representation.

Abstract: An ultrasound probe is capable of detecting flaws in an object in a non-destructive manner. The probe includes a row-column addressed (RCA) array with a plurality of row and column electrodes. The probe can perform volumetric inspection of an object using the RCA array in different transmission and reception configurations.

Abstract: Examples of the present subject matter provide techniques for enhancing images taken from non-destructive inspection techniques, such as acoustic inspection. A source 3D data may be acquired representing an object. Rather than displaying the source 3D data, signal processing may be employed to enhance the flaws or defects in the source 3D data. A geometry template of the object may be created using the source 3D data. The source 3D data may be compared to the geometry template, and based on the comparison, an enhanced 3D image may be generated.

Abstract: Acoustic evaluation of a target can be performed using an array of electro-acoustic transducers. For example, a technique for such evaluation can include generating acoustic transmission events using different transmitting apertures, the apertures defined by corresponding zones along the array, the zones including multiple electro-acoustic transducer elements. In response to the respective acoustic transmission events. respective acoustic echo signals are received. Representations of the respective received acoustic echo signals are coherently summed. The coherently summing includes applying determined nominal element delay factors to the respective representations to approximate a virtual probe normal to a nominal shape of a surface of a structure being inspected. A pixel or voxel value is corresponding to a specified spatial location within the structure being inspected is generated using the coherently summed representations.

Abstract: Techniques for compensating the sensitivity variations induced by lift-off variations for an eddy current array probe. The techniques use the eddy current array probe coils in two separate ways to produce a first set of detection channels and a second set of lift-off measurement channels without the need to add coils 5 dedicated to the lift-off measurement operation.

Abstract: An eddy current probe assembly for analyzing an article is provided. The eddy current probe assembly includes a housing, an eddy current probe disposed on or within the housing, and a barrier layer. The housing has a coolant passage that extends into the housing and forms a loop within the housing. The coolant passage allows for coolant flow through the housing. The eddy current probe thermally couples with a first portion of the coolant passage at a first surface of the eddy current probe. The barrier layer is on a second surface of the eddy current probe opposite the first surface of the eddy current probe.

Abstract: Examples of the present subject matter provide techniques for compressive sampling of acoustic data. A probe may sample in a compression mode, such that the entire matrix is not sampled at full-time resolution or spatial resolution. Therefore, the initial amount of data captured by the probe is reduced, allowing for lower density hardware (e.g., fewer analog-to-digital conversion channels or related analog front-end hardware) to be used at a lower data rate.

Abstract: Examples described herein include adding a digital watermark into acoustic data. For example, the digital watermark data can be embedded using a key such that the watermark data is spread across a spectrum of the acoustic data. Thus, the data for the digital watermark may have no or minimal visible impact in the images generated using the marked acoustic data. The digital watermark may provide improved security and privacy. Moreover, the digital watermark may be incorporated into the reconstruction process of images.

Abstract: Examples of the present subject matter provide a calibration technique to configure inspection parameters directly on an object. The calibration technique may include a target device configured to be placed on a testing surface of an object for calibration. The target device may reflect acoustic waves transmitted from a transducer probe. The reflected acoustic waves may then be used for determining one or more characteristics of the object.

Abstract: A computerized method of image processing using processing circuitry to apply a previously trained machine learning model in a system for non-destructive testing (NDT) of a material is described. The method can include acquiring acoustic imaging data of the material, the acoustic imaging data acquired at least in part using an acoustic imaging modality, generating an acoustic imaging data set corresponding to an acoustic propagation mode, applying the previously trained machine learning model to the acoustic imaging data set, and generating an image of the material depicting a probability of a flaw per pixel or voxel based on the application of the previously trained machine learning model.

Abstract: A couplant feeding circuit is provided. The couplant feeding circuit has a first set of walls extending from a bottom surface and a second set of walls extending from the bottom surface and between the first set of walls. A membrane extends between the first and second set of walls such that the first and second set of walls along with the membrane form a couplant cavity. The couplant feeding circuit also has a couplant port disposed in one of the first or second set of walls that allows routing of couplant to the couplant cavity. Moreover, the couplant feeding circuit also has a vacuum port disposed in one of the first or second set of walls that allows removal of at least a portion of the couplant from the couplant cavity. Furthermore, the couplant port and the vacuum port form a closed loop within the couplant feeding circuit.

Abstract: A phase-based approach can be used for one or more of acquisition, storage, or subsequent analysis, e.g., A-scan reconstruction or Total Focusing Method imaging, in support of acoustic inspection. For example, binarization or other quantization technique can be used to compress a data volume associated with time-series signal acquisition. A representation of phase information from the time-series signal can be generated, such as by processing the binarized or otherwise quantized time-series signal. Using the representation of the phase information, a phase summation technique can be used to perform one or more of A-scan reconstruction, such as for pulse-echo A-scan inspection, or a TFM imaging technique can be used, as illustrative examples. In such a phase summation approach, time-series representations of phase data can be summed, such as where each time-series can be delayed (or phase rotated) by an appropriate delay value and then aggregated.

Abstract: Acoustic data, such as a full matrix capture (FMC) matrix, can be reconstructed by applying a previously trained decoder machine learning model to one or more encoded acoustic images, such as the TFM image(s), to generate reconstructed acoustic data. A processor can use the reconstructed acoustic data, such as an FMC matrix, to recreate new encoded acoustic images, such as TFM image(s), using different generation parameters (e.g., acoustic velocity, part thickness, acoustic mode, etc.).

Abstract: Example embodiments of the present subject matter relate to methods, systems, and a computer program product for performing assisted ultrasonic inspection flaw screening. The method includes analyzing a plurality of ultrasonic responses having scan axis and ultrasound axis positions. For a plurality of respective scan axis-ultrasound axis positions, an ultrasonic response representative of ultrasonic responses for the scan axis-ultrasound axis position is selected. The selected ultrasonic responses then may be associated for ultrasonic inspection flaw screening.

Abstract: Systems and methods are disclosed for conducting an ultrasonic-based inspection. The systems and methods perform operations comprising: receiving a plurality of scan plan parameters associated with generating an image of at least one flaw within a specimen based on acoustic echo data obtained using full matrix capture (FMC); applying the plurality of scan plan parameters to an acoustic model, the acoustic model configured to determine a two-way pressure response of a plurality of inspection modes based on specular reflection and diffraction phenomena; generating, by the acoustic model based on the plurality of scan plan parameters, an acoustic region of influence (AROI) comprising an acoustic amplitude sensitivity map for a first inspection mode amongst the plurality of inspection modes; and generating, for display, a first image comprising the AROI associated with the first inspection mode for capturing or inspecting the image of the at least one flaw.

Abstract: Using various techniques, a position of a probe assembly of a non-destructive inspection system, such as a phase array ultrasonic testing (PAUT) system, can be determined using the acoustic capability of the probe assembly and an inertial measurement unit (IMU) sensor, e.g., including a gyroscope and an accelerometer, without relying on a complex encoding mechanism. The IMU sensor can provide an estimate of a current location of the probe assembly, which can be confirmed by the probe assembly, using an acoustic signal. In this manner, the data acquired from the IMU sensor and the probe assembly can be used in a complementary manner.

Abstract: A material profile can be determined by assuming an elliptical or circular arc geometry and by using acoustic noise generated by diffuse internal reflection and/or specular reflection on the internal (ID) or external (OD) interface of the material under inspection, such as a pipe or curved plate. A non-destructive testing (NDT) technique can acquire acoustic data of the material using an ultrasonic signal. The acquired acoustic data can be filtered such that the acoustic noise generated by diffuse internal reflection and/or specular reflection is separated from any flaws in the material. Positions of the acoustic noise can be determined and then a regression technique can be applied to the positions, which can generate an equation of a circle, for example, such as to provide a radius and thickness of the pipe or curved plate.

Abstract: Transmit-Receive Longitudinal (TRL) probes can be used for the inspection of noisy material, such as austenitic materials. By using various techniques, an inspection area is not constrained by a wedge design of an ultrasonic probe and the benefits of using a linear probe array (rather than a matrix) are maintained. Volumetric or TFM-like imaging on austenitic materials using a linear transmit array and a linear receive array that are out of plane with one another (a TRL configuration) and not in the main imaging place can simplify the inspection and analysis of such materials. For each scan position, an ultrasound probe can acquire acoustic imaging data. Then, a processor can then combine acquisitions from adjacent scan positions to create an imaging result using synthetic aperture focusing technique (SAFT) principles to recreate a focalization in a passive axis of the probe.