Method for determining the geometry of one or more real, examined defects of a metallic, in particular magnetizable object, in particular a pipe or a tank, by means of at least two reference data sets of the object generated on the basis of different, non-destructive measurement methods,

wherein the object is at least partially represented on or by an at least two-dimensional, preferably three-dimensional, object grid, in an EDP unit,
wherein an output defect geometry, in particular on the object grid or an at least two-dimensional defect grid, is generated by inversion of at least parts of the reference data sets, in particular by at least one neural network (NN) trained for this object, a respective prediction data set for the non-destructive measurement methods used in the generation of the reference data sets is calculated on the basis of the output defect geometry by a simulation routine, a comparison of at least parts of the prediction data sets with at least parts of the reference data sets is carried out and, depending on at least one accuracy measure, the method for determining the geometry of the defect is terminated or an iterative adjustment of the output defect geometry to the geometry of the real defect(s) is carried out, as well as methods for determining a load limit (FIG. 1).

This optical fiber distribution measurement system of distributed optical fiber sensing type includes: a tunable wavelength distributed feedback LD (1) for obtaining a DTSS signal through frequency shift analysis; an external resonance laser (2) for obtaining a DAS signal through phase shift analysis; a pulse compression coding circuit (4) including an intensity modulator (4a) and an phase modulator (4b); an acousto-optic switch (5); an erbium doped optical fiber amplifier (6); a circulator (7); a diversity device (8); a digitizer (11); a CPU (12); and a serial transfer interface (13). Through calculation on discrete signals sent from the digitizer (11), the CPU (12) converts an analyzed Rayleigh frequency shift signal obtained as the DTSS signal, to phase error, and corrects an analyzed phase signal obtained as the DAS signal, by the phase error.

There is provided a technique that includes abnormality detecting by picking up a sound generated from a transfer configured to be capable of transporting the substrate and comparing a waveform of sound data with a preset threshold value to detect an abnormality of the transfer; and failure detecting by picking up vibration of the transfer and comparing a waveform of vibration data with a preset threshold value to detect a failure of the transfer.

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.

A method for measuring health of a motor includes: (a) measuring, by an electrocardiogram sensor, vibration of the motor to obtain at least two electrical signals with each of the at least two electrical signals representing a harmonic of the vibration of the motor; (b) comparing each of the at least two electrical signals with a corresponding baseline; (c) based on the comparison, determining whether any one of the at least two electrical signals includes one or more artifacts wherein an artifact in a respective one of the at least two electrical signals is a deviation from a respective one of the corresponding baseline; and (d) based on any one of the at least two electrical signals including the one or more artifacts, providing an estimated time to failure for the motor.

The disclosure discloses a stress gradient high-efficiency non-destructive detection system based on frequency domain calculation of broadband swept frequency signals, and a detection method thereof. The detection method includes: step 1: calibrating an LCR wave velocity of an object to be measured; step 2: calculating a starting frequency and a cut-off frequency of broadband swept frequency signals based on the LCR wave velocity of the object to be measured in the step 1 and a stress gradient measuring range in a depth direction of the object to be measured; step 3: converting phase delay to time delay information based on the phase delay of the starting frequency and the cut-off frequency in the step 2; and step 4: determining stresses of depths corresponding to different frequency components based on the time delay information in the step 3 to finally realize layer-by-layer scanning of stresses at different depths of the measured object. The disclosure is used to solve the problem of low stress gradient measuring accuracy, and realize the high-efficiency characterization of the stress gradient in the depth direction.

A system for non-destructive testing of a bond condition of concrete beams reinforced by steel rods is described. The system includes a transducing transmitter, a transducing receiver, and an ultrasonic pulse generator configured to generate drive signals for the transducing transmitter and receive a plurality vibrational waves at the transducing receiver. The system further includes a computing device including a measurement circuit configured to record a transit time for each vibrational wave and divide a distance between the transducing transmitter and the transducing receiver by the transit time to determine a pulse velocity of each vibrational wave, a comparison circuit configured to identify a highest pulse velocity of the vibrational waves and compare each highest pulse velocity to a first reference pulse velocity, and a decision circuit including an artificial neural network configured to identify a compromised bond condition around a steel rod.

An ultrasound transmitting and receiving device that can determine whether a contact state between a probe and a bolt is normal without relying on the skill of an operator is provided. The ultrasound transmitting and receiving device includes a probe control unit, an auxiliary storage device, and a contact state determination unit. The probe control unit causes a probe to transmit ultrasound to a bolt, and causes the probe to receive an echo of the transmitted ultrasound. The auxiliary storage device stores one or more pieces of comparison data to be compared with echo data indicating the echo received by the probe. The contact state determination unit compares the echo data with the comparison data, and determines a contact state between the probe and the bolt based on a comparison result.

A production system and method of operating the production system. A fluid flows through a flow control device. The flow control device having an element that generates an acoustic signal indicative of a value of a parameter of the fluid in response to the fluid flowing through the flow control device. The processor receives the acoustic signal from the element, determines the value of the parameter of the fluid from the parameter of the acoustic signal, and changes an operation of the production system based on the value of the parameter of the fluid.

The present document relates to a heterodyne scanning probe microscopy (SPM) method for subsurface imaging, and includes: applying an acoustic input signal to a sample and sensing an acoustic output signal using a probe. The acoustic input signal comprises a plurality of signal components at unique frequencies, including a carrier frequency and at least two excitation frequencies. The carrier frequency and the excitation frequencies form a group of frequencies, which are distributed with an equal difference frequency between each two subsequent frequencies of the group. The difference frequency is below a sensitivity threshold frequency of the cantilever for enabling sensing of the acoustic output signal. The document also describes an SPM system.