A method and device for processing ultrasonic data from an industrial inspection device. Ultrasonic reflections from a high-resolution phased array are sampled at high-frequency to create a large volume of data. The data are converted to I/Q data and compressed to a manageable size. An external computer can beamform and render an image without restoring the compressed data to raw form. This method may be used for in-line inspection, downhole inspection, or ultrasonic testing.

The present disclosure provides methods and systems for the characterization of a potential microtexture region (MTR) of a sample, component, or the like. The methods may include determining a threshold width of spatial correlation coefficient and/or a threshold spatial correlation coefficient slope for an actual MTR, characterizing a potential MTR as an actual MTR or a defect, characterizing an actual MTR as an acceptable MTR or not, and/or characterizing various components with potential MTRs as defective or not. The characterization may include calculating a width of spatial correlation coefficient and/or a spatial correlation coefficient slope of the potential MTR and comparing the width of spatial correlation coefficient to a threshold width of spatial correlation coefficient and/or comparing the spatial correlation coefficient slope to a threshold spatial correlation coefficient slope for the potential MTR to be characterized as an actual MTR or a defect (crack).

Passive wireless sensors include an antenna. The antenna receives a combined signal. The combined signal includes a low frequency modulating signal modulated on a high frequency carrier wave. A demodulator receives the combined signal and extracts the modulating signal. A sensor receives the extracted modulating signal and produces an output signal with a time delay indicative of a property to be sensed. A modulator receives the output signal and the high frequency carrier wave and modulates the output signal onto the high frequency carrier wave to create a combined output signal broadcast by the antenna.

Passive wireless sensors include an antenna. The antenna receives a combined signal. The combined signal includes a low frequency modulating signal modulated on a high frequency carrier wave. A demodulator receives the combined signal and extracts the modulating signal. A sensor receives the extracted modulating signal and produces an output signal with a time delay indicative of a property to be sensed. A modulator receives the output signal and the high frequency carrier wave and modulates the output signal onto the high frequency carrier wave to create a combined output signal broadcast by the antenna.

A sonic speed measurement device includes a reception array in which a plurality of reception elements which output reception signals in response to reception of an ultrasonic wave are disposed in one direction, a phase difference detection portion that detects a phase difference between the reception signals output from the reception elements adjacent to each other in a case where the plurality of reception elements receive the ultrasonic wave which propagates in a spherical wave shape from a target point, and a sonic speed calculation portion that calculates a sonic speed of the ultrasonic wave on the basis of the phase difference.

This disclosure relates generally to detection of concentration of micro and nano particles in a fluid environment. An acoustic transmitter array is selective coated with polymer and receiver array is deployed at a random location in a conduit. The acoustic transmitter array on the conduit is insonified at a predetermined frequency to obtain a plurality of reflected signals. A plurality of key features pertinent to the conduit are extracted from the plurality of reflected signals to obtain a plurality of acoustic signals. A correlation model is configured by inputting, at least one feature associated with the pre-processed acoustic signals. A known concentrations of nano and micro particles are trained with an artificial neural network algorithm and calibrated with ground truth data. The location of the transmitter array and receiver array and the correlation model are finalized for detecting concentration of the particular micro and nano particles in the fluid environment.

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.

A roller search unit for detecting rail defects with integrated digital circuitry includes a liquid filled tire mounted to an axle assembly with wheels. An ultrasonic transducer array positioned within a housing is positioned within the within the tire and coupled to the axle. The housing contains transducer interface circuitry operable to receive analog signals from the ultrasonic transducer array and contains digital flaw detection circuitry operable to convert the analog signals to digital signals and perform analysis on the digital signals to detect flaws in a rail. The transducer interface circuitry and digital flaw detection circuitry are configured to stack to provide a compact, small footprint assembly. The conversion of the transducer signals from analog to digital within the tire permits transmission of the digitized data without susceptibility to interference and noise.

Methods and devices for detecting a defect in a rail of a railway track, include at least two sensors selected from among magneto-acoustic and/or piezoelectric and/or magnetostrictive transducers; each sensor being associated with a timestamping circuit of a GNSS satellite positioning system; a measuring circuit for measuring, by way of the sensors, the acousto-elastic waves propagating in the rail, the wave or signal measurements being timestamped. Some developments describe notably active and passive modes; the use of train crossings; the emission of waves; the determination of the existence and then of the position and finally the characterization of the defect, where applicable; preferred placements for installing the sensors; the use of inter-correlation, passive inverse filter or correlation of coda of correlation methods; the use of mobile robots and/or drones; the use of artificial noise sources.

Methods and devices for detecting a defect in a rail of a railway track, include at least two sensors selected from among magneto-acoustic and/or piezoelectric and/or magnetostrictive transducers; each sensor being associated with a timestamping circuit of a GNSS satellite positioning system; a measuring circuit for measuring, by way of the sensors, the acousto-elastic waves propagating in the rail, the wave or signal measurements being timestamped. Some developments describe notably active and passive modes; the use of train crossings; the emission of waves; the determination of the existence and then of the position and finally the characterization of the defect, where applicable; preferred placements for installing the sensors; the use of inter-correlation, passive inverse filter or correlation of coda of correlation methods; the use of mobile robots and/or drones; the use of artificial noise sources.