Disclosed herein is a system for diagnosing faults in a vehicle using multiple audio sensors. The audio sensors are placed in predetermined locations within the vehicle. The audio sensors continually detect sound signals being originated from components of the vehicle. The audio sensors process detected sound signals to remove unwanted noise from the detected sound signals. The audio sensors compare processed sounds signals with reference sound signals to identify one or more faulty components. Each reference sound signal is associated with a particular fault. The audio sensors transmit information associated with the one or more faulty components to an analyst computer. An interactive graphical user interface of the analyst computer may present the information to an analyst.

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).

Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.

A method for monitoring hydrate formation in an interior of a tube may include deploying a first hydrate controller device at a first location on an exterior surface of the tube. The method may include deploying a second hydrate controller device at a second location on the exterior surface of the tube. The method may include transmitting, by the first hydrate controller device, first acoustic signals towards the interior of the tube. The first acoustic signals may include a first frequency value and a first amplitude value associated to a transmission power level. The method may include receiving, by the second hydrate controller device, the first acoustic signals. The method may include measuring, by the second hydrate controller device, a reception power level of the first acoustic signals.

The present disclosure provides methods and systems for the characterization of a microtexture of a sample, component, or the like. The methods may include methods of determining a service life limiting region of a component, determining a treatment method for a component, and/or selecting components from a batch of components for use in production. The characterization may include calculating a microtexture level indicator from ultrasonic C-scan images for various samples, regions, components, or the like. The microtexture level indicator may include at least one of an average peak factor, a standard deviation of peak amplitude, and/or a baseband bandwidth.

The present disclosure provides methods and systems for performing ultrasonic testing. Reflected acoustic waves are obtained at a detector, the reflected acoustic waves produced by at least one insonification of a component to be tested. The reflected acoustic waves are processed to produce a representation of the component. A location of the component to be tested within the representation of the component is determined. A portion of the representation associated with the component is analyzed to detect a presence of a defect in the component to be tested. An alert indicative of the defect in the component is issued responsive to detecting the presence of the defect.

A method and apparatus for detecting and classifying cracks in pipelines is disclosed. The method for detecting and classifying cracks comprises the steps of: emitting a first shear wave along a region of inspection, the first shear wave being polarized in a first direction; receiving the first shear wave; emitting a second shear wave along the region of inspection, the second shear wave being polarized in a second direction at a minimal angle of about 10° different from the first direction, preferably at an angle of about 30° or more; receiving the second shear wave; examining the anisotropy of the first and second received shear waves by comparing at least one wave property of said first and second received shear wave for detecting and classifying cracks in the region of inspection. Said apparatus as disclosed herein comprises emitting and receiving EMATs, and is configured to carry out said method.

Systems and methods for detecting a kiss bond in a composite component are provided. Using reflected ultrasound data representative of reflected ultrasound energy from the composite component, a first threshold amplitude value between 2% and 5% higher than a predetermined baseline noise amplitude value of expected material noise in the reflected ultrasound energy from the composite component, and a second threshold amplitude value higher than the first threshold amplitude value, one or more occurrences of an amplitude of the reflected ultrasound energy exceeding the threshold amplitude value and less than the second threshold amplitude value are identified. The kiss bond is detected in the composite component based on the identified one or more occurrences of the amplitude of the reflected ultrasound energy.

[PROBLEM] To provide a defect detection device capable of detecting not only a defect within a visible range but also a defect outside the visible range among the objects to be inspected. [SOLUTION] A defect detection device 10 includes: an excitation source 11 capable of being placed at any position on a surface of an inspection target object S, the excitation source 11 being configured to excite an elastic wave within the inspection target object S, the elastic wave being predominant in one vibration mode and propagating in a predetermined direction; an illumination unit (pulsed laser light source 13, illumination light lens 14) configured to perform stroboscopic illumination on an illumination area of the surface of the inspection target object by using a laser light source; a displacement measurement unit (speckle shearing interferometer 15) configured to collectively measure a displacement of each point in a front-back direction within the illumination area in at least three different phases of the elastic wave, by speckle interferometry or speckle shearing interferometry; and a reflected wave/scattered wave detector 16 configured to detect either one or both of a reflected wave and a scattered wave of the elastic wave, based on the displacement measured by the displacement measurement unit.

Methods, devices, and systems for detecting one or more discontinuities of a structure may include a laser emitter configured to generate and direct an ultrasonic signal into a structure and a receiver comprising an optical microphone. The optical microphone may comprise an array of optical microphones configured in a complementary manner to the emitter.