A non-destructive inspection device includes: a probe, a camera configured to film an area of the part inspected by the probe, a first display and a second display system configured to allow a display of at least one image filmed by the camera. This configuration makes it possible to remotely display the area of the part inspected by the probe.

A portable facility failure diagnosis device using detection of radiation ultrasonic waves, comprising: an ultrasonic sensor array; a data acquisition board (DAQ board) in which an electronic circuit for acquiring ultrasonic signals at a sampling frequency of the ultrasonic signals sensed by the ultrasonic sensor array is mounted on a substrate of the data acquisition board (DAQ board); a main board in which an operation processing device that processes the ultrasonic signals received from the DAQ board is mounted on the substrate and the processed ultrasonic sound source information to a display device; a data storage medium storing data processed in the operation processing device of the main board; a display device visually displaying the data processed; and an optical camera picking up an image of a direction.

A method includes emitting an ultrasonic signal into a test specimen from a transducer, receiving a first reflected ultrasonic signal from the test specimen, wherein the first reflected ultrasonic signal is reflected from a feature in the test specimen and the first reflected ultrasonic signal is internally reflected within the test specimen three times prior to being received, and determining a threshold depth of the feature in the test specimen based on receiving the first reflected ultrasonic signal.

A method of non-destructive testing includes providing a non-destructive tester (NDT), including a first processor and a probe/sensor, and smart glasses including a second processor. During movement of the probe/sensor and a specimen under test (SUT) relative to each other, the probe/sensor outputs an interrogation signal into the SUT and acquires a response of the SUT to the interrogation signal. Data corresponding to the response of the SUT is wirelessly communicated from the first processor to the second processor where the data is processed and produced on a display of the smart glasses as a waveform corresponding to the response. The process can be repeated whereupon a first waveform indicative of no defect in the SUT can be displayed when no defect is detected in the SUT and a second waveform indicative of a defect in the SUT can be displayed when a defect is detected in the SUT.

An inspection system, in an embodiment, can be operable with a probe and a position tracker to inspect an object. The system can be operable to display at least one probe travel axis, receive first and second inspection values from the probe, associate the first inspection value with a first position point, and associate the second inspection value with a second position point. The system displays an inspection path based on the associations. The inspection path extends relative to the probe travel axis.

Provided is a method and a system for multi-channel acoustic communication and sensing. For example, there is provided a system that includes a processor and a memory. The processor, when executing instructions from the memory, can perform certain operations. The operations can include classifying a motion detected near an ultrasonic receiver based on a Doppler shift observed in a signal measured by the ultrasonic receiver. The classifying can further include detecting a side lobe in a power spectrum of the signal to indicate that the motion has been detected.

There is provided an ultrasonic bridge for ultrasonic-based wireless communication. For example, there is provided an ultrasonic bridge that includes a microphone configured to transduce an ultrasound into an analog voltage. The ultrasonic bridge further includes hardware configured to convert the analog voltage to digital information. The ultrasonic further includes a transceiver configured to send the digital information wirelessly to a remote device via one of an RF link and a light-based link.

Systems and methods for training a machine learning model for non-destructive evaluation. A plurality of training samples are generated, with a subset of the plurality of training samples representing an article with a defect or a combination of defects. Training samples are generated by generating a virtual model of the article with defect at a computer system, generating a simulated signal representing an output of a non-destructive evaluation system scanning the physical article using the virtual model at the computer system, and associating a representation of the simulated signal with parameters representing a characteristic of the virtual model of the article with defects. The machine learning model is trained on the plurality of training samples. The trained machine learning model is applied on to measurements collected from physical articles to characterize or quantify defects.

A method includes emitting an ultrasonic signal into a test specimen from a transducer, receiving a first reflected ultrasonic signal from the test specimen, wherein the first reflected ultrasonic signal is reflected from a feature in the test specimen and the first reflected ultrasonic signal is internally reflected within the test specimen three times prior to being received, and determining a threshold depth of the feature in the test specimen based on receiving the first reflected ultrasonic signal.

A method is provided for visualizing, in real time, a signal emitted by a non-destructive testing device including a rigid body, a non-destructive testing sensor connected to the rigid body, and an augmented reality visualization device. The method includes: emitting and receiving the signal by way of the sensor; determining a cut-out of an occlusion inside the mechanical part; determining a signal visualization surface constructed from the paths of the signal; and visualizing a superimposed real view and holographic 3D representation of the mechanical part, of the non-destructive testing sensor, a holographic representation of the cut-out of the occlusion and of the signal visualization surface, which are superimposed on the real view.