A method for inspecting a weld of plastic pipes by means of a data processing device, comprising: capturing and storing documents; monitoring and recording the installation and the implementation of the weld of the joint; producing a welding report, or adopting a welding report from the welding machine; testing the weld ultrasonically, wherein the test detects and stores the defects that are in the weld; wherein software is used to capture and store the documents, the welding report and the defects, more specifically the data on said defects, wherein an algorithm of the software is used to evaluate the stored documents, reports, defects and data on said defects, and to classify the welded joint as compliant or non-compliant with the requirements.

An ultrasonic inspection apparatus includes: an acquisition unit acquiring a signal indicating a fundamental wave and a second harmonic of an ultrasonic wave, which are obtained by the ultrasonic wave being scanned over an inspection object through a medium, at each scanning position; a calculation unit calculating a value obtained by dividing a second harmonic amplitude by a square of a fundamental wave amplitude, at each scanning position; and an output unit outputting information on a defect of the inspection object, based on the value obtained by dividing the second harmonic amplitude by the square of the fundamental wave amplitude.

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 an air pocket, delamination, or foreign object within the composite. Furthermore, in one embodiment, the system includes an artificial intelligence capable of highlighting foreign objects within the 3-D image in real time or near real time and providing data regarding each object area, such as the depth, size, and/or type of each defect.

A device for imaging defects in a structure includes N transmitters and P receivers to be distributed over at least one surface of the structure and a central unit controlling the transmitters and receivers to sequentially record QNP signals (S) obtained from electrical signals provided by the receivers of Q different transmitter/receiver pairs, after reception of mechanical waves transmitted by the transmitters of these Q pairs. It further stores Q first and Q second corresponding reference signals (S.sub.REF1, S.sub.REF2), representative of the structure without defects and differing by random noise. A central processing unit is programmed to: correlate each signal obtained with the corresponding first reference signal, in such a way as to construct an image of probabilities of defects; correlate each first reference signal with the corresponding second reference signal, in such a way as to construct a reference noisy image; and subtract the reference noisy image from the image of probabilities of defects.

A method and device are provided for determining a mode of detection of an element that reflects ultrasonic waves, wherein it comprises at least the following steps: For each point P of a given volume Zr, determining an ultrasonic field value A.sub.ij.sup.m (P) for N emitter-receiver pairs (i, j) and for one detection mode m, computing a number $C^m\left(P,\stackrel{.fwdarw.}{n}\right)=\underset{i,j=1}{\overset{N}{.Math.}}{c}_{\mathrm{ij}}^m\left(P,\stackrel{.fwdarw.}{n}\right)$
of reflections of the wave where

A method for examining a value document includes emitting ultrasonic pulses onto several locations on the value document. An echo pulse arises by reflection of at least a portion of a respective ultrasonic pulse at the value document. The echo pulses are received while forming echo values, and from the echo values at least a characteristic value is established as to the wrinkledness of the value document. As apparatus is provided for carrying out the method.

An apparatus for detecting anomalies in an acoustic signal, the apparatus including: one or more microphones for receiving an acoustic signal of an environment; and a processor implementing: an acoustic signal processing module configured to: analyse the acoustic signal to identify anomalies in the acoustic signal indicative of events occurring in the environment; and classify the anomalies in the acoustic signal into one or more event classifications; and a communications module configured to output the one or more event classifications, wherein the apparatus is located in the environment and includes an environmental enclosure arranged to house the processor and to protect the processor from environmental contaminants.

A non-destructive inspection judgment system for inspecting a non-destructive inspection subject using ultrasonic waves, including an ultrasonic wave generator transmitting and receiving ultrasonic signals by generating ultrasonic waves to the non-destructive inspection subject placed on an inspection table, an interface transmitting an ultrasonic signal received from the ultrasonic wave generator to an ultrasonic wave generation data controller, the ultrasonic wave generation data controller processing ultrasonic wave data received from the interface, a sealing defect presence judger determining, using the processed ultrasonic wave data, whether a sealing defect is present, and a display displaying a result of the judgment on a monitor to detect an unsealed portion of an aluminum pouch.

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 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).