A magnetostrictive position measuring method determines a time of flight of a magnetostrictive response transmitted through a waveguide. The magnetostrictive response is generated using a target magnet in response to a magnetostrictive excitation. In the method, an electrical response signal containing an indicator of the magnetostrictive response is digitally sampled at a sampling rate to obtain a plurality of samples. An amplitude of each of the plurality of samples within a target frequency range is determined through an analysis of the plurality of samples in a frequency domain. A peak sample from the plurality of samples in the frequency domain corresponding to the magnetostrictive response is identified. The time of flight and a position of the target magnet along the waveguide is determined based on the peak sample.

Methods, systems, and computer storage media for providing an indication of an integrity of an object based on a non-invasive assessment of the integrity of the object using acoustic signature management engine in object integrity sensing system. In operation, an aggregate object-intermediate-medium sound of an object in an intermediate medium is detected (e.g., via sensors). An acoustic signature of the aggregate object-intermediate-medium sound is generated as a processed acoustic channel associated with statistical measurements. A reference acoustic signature of the object and intermediate medium is accessed. The reference acoustic signature is associated with an acoustic signature computation model, that generates reference acoustic signatures based on a mean and standard deviation measurements of input signals transmitted through the object and intermediate medium. A determination whether the object has impaired integrity is determined based on a quantified difference between the acoustic signature of the aggregate object-intermediate-medium sound and the reference acoustic signature.

There are described a system and method for performing ultrasound testing of a component comprising a first material layer and a second material layer bonded by an adhesive layer. The method comprises applying input ultrasound to the component to cause longitudinal propagation of ultrasonic guided waves through the first material layer and the adhesive layer; acquiring acoustic waves from the component, wherein the acoustic waves produced by the longitudinal propagation of the ultrasonic guided waves; generating a signal representation of the acoustic waves; comparing the signal representation of the acoustic waves to a plurality of reference signals to identify a characteristic of the adhesive layer; and outputting an output signal indicative of the characteristic of the adhesive layer.

Method and apparatus estimate the length of a fatigue crack in sheet metal structures from individual acoustic emission (AE) signals without recourse to the AE signal history or AE signal amplitude. AE energy generated at one crack tip travels to the other tip and establishes a standing wave pattern that has a characteristic dominant frequency which depends on the crack length. Therefore, crack length information can be recovered from the analysis of the standing wave frequency present in the high-frequency AE signals. We found that the AE signals predicted through numerical simulation have embedded in the high-frequency information that can be related directly to crack size. This information is manifested as peaks in the frequency spectrum that shift as crack length changes. The predictive AE models were tuned against experimentally observed AE signals and a methodology for predicting crack length from AE signals was established. This methodology was utilized to develop machine learning algorithms for predicting crack length directly from individual AE signals. Specific artificial intelligence methodology presently disclosed can estimate in real-time the crack length information from the high-frequency AE waveforms during fatigue crack growth.

A sensor includes a flexible cable arranged to provide a plurality of independent electrical coils and a connector. Each of the plurality of independent electrical coils extend from a first end to a second end and is configured to be wrapped at least partially around a surface of a structure to be tested. The connector is electrically coupled to the first end of at least one of the plurality of independent electrical coils. The plurality of independent electrical coils is configured such that current will flow in a common direction between the first ends and the second ends within each said independent coil. Systems and methods also are disclosed.

A system for estimating both thickness and wear state of refractory material (1) of a metallurgical furnace (12), including at least on processor including a database of simulated frequency domain data named simulated spectra representing simulated shock waves reflected in simulated refractory materials of known state and thickness, each simulated spectrum being correlated with both known state and thickness data of the considered simulated refractory material, wherein the at least one processor is configured to record a reflected shock wave as a time domain signal, and to convert it into frequency domain data named experimental spectrum, and are further configured to compare the experimental spectrum with at least a plurality of simulated spectra from the database, to determine the best fitting simulated spectrum with the experimental spectrum and to estimate thickness and state of the refractory material (1) of the furnace (12) using known state and thickness data correlated with the best fitting simulated spectrum.

A system for estimating both thickness and wear state of refractory material (1) of a metallurgical furnace (12), including at least on processor including a database of simulated frequency domain data named simulated spectra representing simulated shock waves reflected in simulated refractory materials of known state and thickness, each simulated spectrum being correlated with both known state and thickness data of the considered simulated refractory material, wherein the at least one processor is configured to record a reflected shock wave as a time domain signal, and to convert it into frequency domain data named experimental spectrum, and are further configured to compare the experimental spectrum with at least a plurality of simulated spectra from the database, to determine the best fitting simulated spectrum with the experimental spectrum and to estimate thickness and state of the refractory material (1) of the furnace (12) using known state and thickness data correlated with the best fitting simulated spectrum.

In backscatter coefficient imaging, a backscatter coefficient of one region of interest relative another region of interest is used to avoid calibration. The system effects are removed by using a frequency-dependent measure of the backscatter. The relative frequency-dependent backscatter coefficient is determined by an ultrasound scanner.

Methods and systems for characterizing multiple properties of a cement composition for use at downhole conditions using ultrasonic analysis tools are provided. In some embodiments, the methods comprise: transmitting at least a first p-wave and a second p-wave having different frequencies through a cement composition; determining velocities of the first and second p-waves through the sample; transmitting at least a third p-wave having a third frequency through the cement composition while allowing the cement composition to at least partially hydrate, wherein the third frequency is higher than the second frequency; determining at least a velocity of the third p-wave through the cement composition; based at least in part on the velocities of the p-waves, determining at least the compressibility, Poisson's ratio, Young's modulus, and shear modulus of the cement composition.

A method for analyzing dynamic mode change of an anisotropic material includes performing modal analysis of a first physical force applied to an isotropic material specimen and a first vibration signal collected from the isotropic material specimen, acquiring a first modal parameter of the isotropic material specimen, based on the modal analysis result, performing modal analysis of a second physical force applied to the anisotropic material specimen and a second vibration signal collected from the anisotropic material specimen, acquiring a second modal parameter of the anisotropic material specimen, based on the modal analysis result, acquiring a modal assurance criterion (MAC) for each mode of the anisotropic material specimen, based on the first and second modal parameters, and acquiring each similar mode of the anisotropic material specimen to each mode of the isotropic material specimen.