The invention relates to an acoustic sensor system (1) for detecting a defect (2) of a pipeline wall (3), having: at least one transmitter unit (4) which is configured to emit ultrasound in the direction of a pipeline wall (3) and detect an ultrasound echo reflected by the pipeline wall (3); and a control unit (5) which is connected to the at least one transmitter unit (4) for signaling purposes and which is configured to detect a defect (2) of the pipeline wall (3) using a present change in he ultrasound echo. The invention additionally relates to an in-line inspection device comprising the sensor system (1), to a method for detecting a defect (2) in a pipeline wall (3), to a computer program, to a data carrier signal, and to a data storage unit.

Methods and devices are provided for analyzing a tubular structure including at least two electromagnetic-acoustic transducers (EMAT) and, called sensors, attachable or attached in, on or in the vicinity of the tubular structure; and computation and/or memory resources, that are accessed locally and/or remotely and that are configured to determine, for the pair of sensors, a function representing the impulse response of the tubular structure on the basis of the diffuse acousto-elastic noise present in the structure. Developments describe the use of rings supporting the sensors; translation and/or rotation movements; permanent or temporary installations; hinged rings; various computation modes, e.g., intercorrelation, a passive inverse filter, or correlation of the coda of the correlation; the use of artificial noise sources, imaging (e.g., tomography) for determining the existence of one or more defects in the structure. Software aspects are described.

A method for classifying a glass object via acoustic analysis by a classifying apparatus is provided. The method including: receiving, by a processor, sound data of a knock sound generated by applying a knocking operation on the glass object; determining, by the processor, a type of the glass object by performing a knock-sound analysis to the sound data, wherein the type of the glass object includes an organic glass and an inorganic glass; if the type of the glass object is determined as the inorganic glass, receiving, by the processor, echo data of an echo induced by applying an ultrasonic-echo operation on the glass object; and determining, by the processor, a further type of the glass object by performing an echo-decay analysis to the echo data, wherein the further type of the glass object includes a crystal glass, a borosilicate glass and a soda-lime glass.

Waves from cement bond logging with a sonic logging-while-drilling tool (LWD-CBL) are often contaminated with tool waves and may yield biased CBL amplitudes. The disclosed LWD-CBL wave processing corrects the first echo amplitudes of LWD-CBL before calculating the BI. The LWD-CBL wave processing calculates a tool wave amplitude and a phase angle difference as the difference of the phases between the tool waves and casing waves. The tool waves are then used to correct the LWD-CBL casing wave amplitude and remove errors introduced from tool waves. In conjunction with the sets of operations described, the LWD-CBL wave processing also include array preprocessing operations. Array preprocessing may employ variation of bandpass filtering and frequency-wavenumber (F-K) filtering operations to suppress tool wave.

Provided is an unevenness level inspecting device includes a target at a known distance from a to-be-inspected surface, a traveling unit for traveling on the to-be-inspected surface, a communication unit capable of making communication with a surveying instrument for measuring three-dimensional position coordinates of the target, and a control unit configured to calculate a height of the to-be-inspected surface corresponding to a measurement position of the target, the control unit calculates a height of the to-be-inspected surface corresponding to a measurement position of the target measured each time the unevenness level inspecting device travels a predetermined distance, and generates display data for displaying unevenness level information associating a difference between the height of the to-be-inspected surface and a reference height with inspecting device position coordinates in a manner that the unevenness level information is superimposed on a site design drawing.

The present disclosure provides methods, microfluidic devices, and systems for isolating target particles from a sample containing or suspected of containing the target particles. The methods, microfluidic devices, and systems disclosed herein facilitate affinity-based isolation of target particles in a microfluidic channel by translating the target particles to the side walls of the microfluidic channel where capture agents that bind to the target particles are immobilized.

A sensor system for detecting particles within a fluid, the sensor system comprising: i) a gauge body having a working surface for receiving a particle containing fluid; ii) an impactor spaced apart from the working surface of the gauge body defining a spacing between the impactor and the working surface of the gauge body through which particle containing fluid can pass, wherein the sensor system is configured such that as the particle containing fluid passes through the spacing between the impactor and the working surface of the gauge body, particles disposed over the working surface are impacted by the impactor generating a signal which is dependent on one or both of the size and concentration of particles in the fluid; and iii) a sensor configured to detect the signal generated by the particles impacting the impactor and provide an output signal.

Described is a method for estimating a material property of an object by means of a laser ultrasonic (LUS) measurement equipment comprising a generation laser, a detection laser and a detector. The method includes providing a laser pulse onto a surface of the object by the generation laser such that an ultrasonic pulse is generated in the object and such that an ultrasonic vibration is immediately generated on the surface, measuring at least a first subsequent ultrasonic echo from the object by use of the detection laser and the detector, which ultrasonic echo is an echo from the ultrasonic pulse generated in the object, measuring the ultrasonic vibration which is immediately generated on the surface, by use of the detection laser and the detector, and estimating the material property by use of an ultrasonic attenuation parameter based on the measured at least first subsequent ultrasonic echo, whereby the material property is estimated by using the measured ultrasonic vibration which is immediately generated on the surface as reference to the measured at least first subsequent ultrasonic echo.

A test robot for testing slot breech wedges, which are provided on the outer periphery of a rotor of a generator, the rotor being surrounded by a stator, with a chassis, which receives a drive system, a position detection device, a controller, which controls the drive system based on data captured by the position detection device, magnets attached to the chassis, which are positioned and designed such that the magnets adherently hold the chassis to a magnetic substrate, at least one ultrasound test head, which is freely accessible from the underside of the chassis and is movable upward and downward, and at least one couplant application component, which is provided on the chassis and is associated with the ultrasound test head.

Disclosed are a method for measuring the adhesive strength of a thin film using surface waves, and a computer-readable recording medium having a program for performing same recorded thereon. The method for measuring the adhesive strength of a thin film measures the adhesive strength between a substrate and a thin film by means of an electronic calculator, using sound waves measured from a thin film structure having a thin film formed on a substrate. The method, which is performed by the electronic calculator, comprises the steps of: receiving, as a first input value, the thickness, density, longitudinal wave velocity, and shear wave velocity of a first thin film and a substrate the adhesive strength between which is to be measured; calculating, from the first input value, the thickness and density of a second thin film virtually configured between the first thin film and substrate, and setting as a second input value; calculating the longitudinal wave velocity and shear wave velocity of the second thin film according to the stiffness constant of the second thin film, while varying the stiffness constant, and setting as a third input value; using the first to third input values to acquire a transfer matrix between the first thin film, second thin film, and substrate; using the transfer matrix to calculate the dispersion characteristics of the speed of surface waves; and substituting, to dispersion curves, the propagation speed of the surface waves measured from the substrate having the first thin film formed thereon, in order to acquire the stiffness constant matching the propagation speed of the measured surface waves and measure the adhesive strength between the substrate and the thin film.