A method includes receiving data characterizing a first acoustic signal reflected by a first defect in a target object, and a first depth of the first defect relative to a surface of the target object. The first acoustic signal is detected by a detector located at a first location on the surface of the target object. The method also includes assigning a defect color to the received data based on an amplitude value associated with the first acoustic signal and one or more of a first predetermined threshold value and a second predetermined threshold value associated with the first depth. The method further includes rendering, in a graphical user interface display space, a first visual representation of the first acoustic signal in a graph including a first axis indicative of target object defect depth and a second axis indicative of amplitudes of acoustic signals detected by the detector. The first visual representation of the first acoustic signal includes the assigned defect color.

A fault state detection apparatus includes an input unit and a processing unit. The input unit receives condition monitoring data. The processing unit implements a trained machine learning algorithm to analyze the received condition monitoring data to determine if the received condition monitoring data is associated with a fault state. The trained machine learning algorithm was trained on the basis of a plurality of non-fault state condition monitoring data and associated ground truth information and on the basis of a plurality of fault state condition monitoring data and associated ground truth information. A subset of the plurality of fault state condition monitoring data was generated from one or more non-fault state condition monitoring data. Generation of fault state conditioning monitoring data in the subset of the plurality of fault state condition monitoring data comprises a transformation of non-fault state condition monitoring data to fault state condition monitoring data.

A nondestructive method for a volumetric examination of a blade root of a turbine blade while the turbine blade is installed in a turbine shaft of a steam turbine includes attaching a bracket to the turbine blade, the bracket conforming to the geometry of the turbine blade, positioning an ultrasonic phased array probe within a slot formed in the bracket to enable the probe to translate along the geometry of the turbine blade to a desired position for generation of a scan of a portion of the blade root, generating a scan of the desired position by directing ultrasonic waves via the ultrasonic phased array probe, and capturing reflected ultrasonic waves by a receiver to generate the scan and comparing the scan to a reference scan of the blade root to determine defects within the blade root.

A non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an ultrasound excitation device, an acoustic capturing device, an ultrasound capturing device and a data processing unit. The laser generating tool and the ultrasound excitation tool direct energy towards a food snack placed on a surface and produce an acoustic signal and an ultrasound signal. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal and ultrasound signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

Methods, systems, devices, and products for ultrasonic borehole logging using an ultrasonic borehole imaging tool in a borehole intersecting the earth formation. Methods may include adjusting a focus for an ultrasonic beam generated from a single-transducer ultrasonic assembly of the ultrasonic imaging tool; using a receiver to generate measurement information responsive to an ultrasonic signal caused by the ultrasonic beam; and estimating a parameter of interest from the measurement information. Methods may include adjusting the focus in dependence upon environmental conditions, the environmental conditions comprising at least one of: i) standoff between the ultrasonic imaging tool and a wall of the borehole; and ii) borehole annulus conditions. Methods may include adjusting the focus in substantially real-time. The ultrasonic beam may be focused with a focal zone at the borehole wall configured to produce a beam spot size of a selected diameter.

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).

An ultrasonic dry coupled wheel probe with radial transducers emit ultrasound in substantially all radial directions relative to a longitudinal axis. The probe does not require normalization and is efficient in directing ultrasound to a surface being inspected. The probe has a wheel composed of rubber or other materials for acoustically dry coupling the transducer to the surface. A first transducer is composed of a piezoelectric material so that the transducer receives an electrical signal, vibrates, and generates and transmits sound, such as ultrasound. Similarly, a second transducer receives sound such as ultrasound, vibrates, and generates a corresponding electrical signal. The transducer arrangement both transmits ultrasound to the surface and receives the reflection of the ultrasound from the surface. An acoustic barrier separates the transmitting component from the receiving component. The transducer has annular electroplates adjacent to the piezoelectric material. The two transducers can comprise a single, integrated transducer module.

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.