A system and a method embodiment or automatic inspection of branch wells is provided. An exemplary system includes a scanning head including an ultrasonic probe, wherein the ultrasonic probe includes a convex crystal. A track is mounted to a branch pipe welded to a main pipe, wherein the scanning head mounts to the track, and wherein the scanning head moves the ultrasonic probe along the track. The system includes a controller configured to display an image based on data provided from the ultrasonic probe.

Methods, systems and computer program products for determining a property for a sample having a target region using ultrasound data from an ultrasound scanner include generating at least one spatial coherence curve based on ultrasound backscatter data in the target region, the spatial coherence curve comprising coherence values as a function of depth in the sample; and determining a property for a sample in response to the spatial coherence curve as a function of depth.

Some embodiments relate to the application of a system and a signal processing method for data acquired from a Scanning Acoustic Microscope (SAM) to obtain a high axial resolution and enhanced imaging. The SAM is one of ultrasound imaging methods used for NDE. Embodiments may provide methods for decreasing or reducing the duration (width) of the pulses scattered/reflected by multiple objects/scatters. Such embodiments can accomplish this by eliminating, or at least partially eliminating, the background noise by deconvolving the system responses (i.e., reference signals) obtained from either theoretical modeling or experimental acquiring. In one embodiment, the method minimizes the pulse duration by using a regression technique to predict the spectra responses outside a frequency band.

A method and system of predicting a muscle characteristic using ultrasound. The characteristic may include a tenderness characteristic and/or a strength characteristic. An analysis of muscle structure is performed for a sample using ultrasound data of the sample. The analysis may include determining a relative number of bundles, fascicles, sarcomeres, fibers, and/or sheath thickness from the ultrasound data. Thereafter, the muscle characteristic is predicted for the sample based on the analysis.

Provided are a structure inspection method and a structure inspection system capable of easily detecting an abnormal location and inspecting an internal state of the abnormal location in detail. The structure inspection method includes: a step of capturing a thermal image of a surface of a structure with an infrared camera; a step of detecting a first region estimated to have an internal abnormality, on the basis of the thermal image; and a step of measuring an internal state of the first region in a case where the first region is detected. In the step of measuring the internal state of the first region, the internal state of the first region is measured by capturing an image that visualizes the internal state of the first region using an electromagnetic wave or an ultrasonic wave.

The present invention discloses a visual ultrasonic nondestructive testing device and method for a deep/long-hole pipe. The device is composed of an ultrasonic measurement module, a mechanical motion module, a control module, and a coupling injection and assistance module. The ultrasonic measurement module includes an ultrasonic pulse transmitter/receiver, and the ultrasonic transmitter/receiver includes a high-speed analog/digital (A/D) converter; the mechanical motion module includes a scanning device, a probe and a holding device thereof, and a magnetic drive device. A scanning device can move in two directions, that is, an X-axis on which a magnetic driving wheel steps and a Y-axis on which a module body tests. During the scanning process, on the X-axis, a stepping motor drives a synchronous wheel-belt transmission, so that the magnetic driving wheel is rotated to achieve the purpose of stepping; on the Y-axis, a stepping motor on the module body drives the probe to reciprocate.

An inspection system includes an image processing unit that suppresses noise of a complex number image on which pixels are represented by a complex number indicating a periodic change in a vibration state of an inspection target. The image processing unit acquires a degree of similarity between a pixel included in a target image region defined in the complex number image and a pixel included in a plurality of reference image regions defined in the complex number image separately from the target image region by comparing complex numbers representing pixels, and executes noise suppression processing of the target image region by using a weight based on the acquired degree of similarity.

A photoacoustic element which has excellent optical properties and acoustic properties is achieved. The photoacoustc element (1) includes: a metal layer (10); a first member (11) which is bonded to one primary surface of the metal layer (10); and a second member (12) which is bonded to another primary surface of the metal layer (10). The metal layer (10) reflects optical waves and transmits pohotoacoustic waves stemming from optical waves. Materials of the metal layer (10), the first member (11), and the second member (12) are selected so as to match an acoustic impedance of the metal layer (10) and an acoustic impedance of each of the first member (11) and the second member (12).

A system for determining a trigger amplitude indicating a precursor to a material fracture in a specimen under test includes a microphone converting acoustic emission emitted by the specimen under test into electrical signals. A load is exerted upon the specimen under test and the acoustic emission are emitted when the load causes the specimen under test to undergo deformation prior to the material fracture. A control module is in electrical communication with the microphone and executes instructions to monitor the electrical signals generated by the microphone and filter the electrical signals generated by the microphone. The control module converts the electrical signals generated by the microphone into individual frequency components based on a fast Fourier Transform (FFT). The individual frequency components each include a peak intensity. The control module determines the trigger amplitude based on the peak intensity of the individual frequency components of the FFT.

A processing system according to an embodiment includes a processing device. The processing device receives a detection result of a reflected wave from a detector that includes multiple detection elements arranged in a first direction and a second direction crossing each other, and performs a probe that includes transmitting an ultrasonic wave toward a welding object and detecting the reflected wave. The processing device performs a first determination of determining a joint and a non-joint at multiple points along the first and second directions of the welding object based on the detection result. The processing device performs a second determination of determining an appropriateness of a result of the first determination by using a circularness of a first region based on the points determined to be joints.