The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as an air pocket, delamination, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting foreign objects within the 3-D image in real time or near real time and providing data regarding each object area, such as the depth, size, and/or type of each defect.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system includes a graphical user interface (GUI) capable of showing a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. The GUI is capable of displaying the 3-D image as each additional 2-D cross section is scanned by an ultrasonic testing apparatus in real time or near real time, including probable defect regions that contain a flaw such as a hole, crack, wrinkle, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting defect areas within the 3-D image in real time or near real time and providing data regarding each defect area, such as the depth, size, and/or type of each defect.

An inspection apparatus for enabling a remotely-located expert to monitor an inspection by a non-expert, the apparatus comprising an inspection device capable of being operated by the non-expert, which is configured to generate inspection data indicative of a condition of a test object, and a communication unit configured to: divide the inspection data into first and second data; transfer the first data for being presented to the remotely-located expert at a first time, to facilitate substantially real-time monitoring of the inspection by the expert; and transfer the second data for being presented to the remotely-located expert at a second time, which is later than the first time, to facilitate non-real time monitoring of the inspection by the expert.

A system for inspecting flexible pipelines comprises a data analyzer, a data collector and an ultrasonic transducer. Further, the ultrasonic transducer is adapted to propagate shear wave into the annulus of the flexible pipeline. The data collector further comprises a data store and a communicator. Further, the system is capable of differentiating flooding and non-flooding condition of the annulus of the flexible pipeline which is subjected to high pressure. Using the system, an indicator of a flooded or non-flooded condition within the flexible pipeline may be calculated using transmitted and detected reflective waves or the lack of detected reflective waves.

The present disclosure provides a system and method for real-time visualization of a material during ultrasonic non-destructive testing. The system is capable of producing A-scans, B-scans, and C-scans of the test object and automatically highlighting potential foreign objects within the test object based on the scan data. The system includes a graphical user interface (GUI) capable of displaying a three-dimensional (3-D) image of a composite laminate constructed of a series of two-dimensional (2-D) cross sections. In one embodiment, the system includes an artificial intelligence module capable of highlighting foreign objects in order to provide size data, shape data, and/or depth data of the foreign object.

A technological solution for analyzing a sequence of ultrasound scan images of an asset and diagnosing a health condition of a section of the asset. The solution includes receiving, by a machine learning platform, an ultrasound scan image of the section of the asset; analyzing, by the machine learning platform, the ultrasound scan image to detect any aberrations in the section; generating, by the machine learning platform, an aberration label for each detected aberration in the section; labeling, by the machine learning platform, the section of the asset with a section condition label; and, rendering, by a display device, the section conditional label. The section condition label can be based on each detected aberration in the section. The section condition label can include at least one of an aberration area ratio, a total number of aberrations, and the aberration label for each detected aberration in the section of the asset.

A method and system provide for reducing gaps between two mating parts. Either or both parts may be nondestructively inspected at a plurality of locations on a surface to gather a data set relating to the part thickness. The data set may be used to calculate a set of as-built thickness values for the part and a set of deviations from a design model. A mating area may be determined for mating surfaces of the parts. One or more layers of sacrificial material in the mating area may be prepared for any deviations greater than a design allowance. The system may include a ply cutting device and an additive manufacturing device coupled to a computer to receive the sacrificial material layer data and shim data and to cut the one or more layers of sacrificial material and to construct the shim. A shim may be constructed for any deviations equal to or greater than a minimum shim thickness. The one or more layers of sacrificial material may be applied to the part, cured, and machined to a desired thickness. The shim may be applied between the part surfaces. The parts may be fitted and assembled together.

Methods for processing data acquired using ultrasound elastography, in which shear waves are generated in a subject using continuous vibration of the ultrasound transducer, are described. The described methods can effectively separate shear wave signals from signals corresponding to residual motion artifacts associated with vibration of the ultrasound transducer. The systems and methods described here also provide for real-time visualization of shear waves propagating in the subject.

A thermoacoustic transducer integrating at least one piezoelectric element having a first surface and a second surface, a potential electrode that is electrically connected to the second surface, a ground electrode that is electrically connected to the first surface, a switch electrically connected to both the potential electrode and the ground electrode, a timer configured to match a pulse emanating from a radio-frequency emitter, further wherein the potential electrode and the ground electrode are electrically connected through an impedance when the switch is in an active state, further wherein the potential electrode and the ground electrode are not electrically connected when the switch is in an inactive state; and a housing accommodating the at least one piezoelectric element, potential electrode, ground electrode, and switch.

Method and system for determining a wall thickness of an object such as a pipeline using ultrasound. A pig is used comprising at least one first ultrasonic transducer which is attached to the pig for transmitting ultrasound in the object. Using at least one second ultrasonic transducer, a receiving signal is generated representing reflections of the ultrasound on the object received by the at least one second transducer. The received signals are processed employing a processor provided at the pig to obtain a compressed receiving signal. In use, the processor determines in the signal maximal N peaks having the largest amplitudes and associated information on the moment on which these peaks occur within the receiving signal. Information about the maximal N peaks and associated information on the moment on which these peaks occur is stored in a storing device of the pig.