Disclosed is a method of determining a characteristic of a measurement intermediate layer (220) in a multilayer structure (200) using an ultrasonic transducer (100), wherein the multilayer structure (200) includes a first layer (210), a measurement intermediate layer (220) and a third layer (230) in series abutment. The method comprises transmitting a measurement ultrasonic signal into the first layer (210) towards the measurement intermediate layer (22)0, measuring a measurement reflection of the measurement ultrasonic signal from the multilayer structure (200), determining, using the measurement reflection, a measured frequency response of the measurement intermediate layer (220), determining a plurality of modelled frequency responses of the measurement intermediate layer (220), comparing the measured frequency response to the plurality of modelled frequency responses, and determining the characteristic of the measurement intermediate layer (220) based on the comparison of the measured frequency response and the plurality of modelled frequency responses.

A method for determining antifreeze content in a fluid of a heating, ventilation, and air conditioning (HVAC) system includes receiving, in a processor, measurement data of the fluid, the measurement data comprising a measured temperature of the fluid and a measured speed of sound in the fluid, calculating, in the processor, for each of a plurality of antifreeze concentration values a fitting parameter, using the measurement data and one or more of previous measurement data or previous antifreeze concentration data, and determining, in the processor, an antifreeze concentration in the fluid by selecting the antifreeze concentration value with an optimal fitting parameter.

Techniques include flowing a multiphase fluid from a hydrocarbon production well through a conduit; measuring, with an ultrasonic tomographic multiphase flow meter (UMM), ultrasonic waveforms generated by the UMM from the multiphase fluid; measuring properties of the multiphase fluid with fluid measurement sensors coupled to the conduit; identifying the ultrasonic waveforms and the properties with a machine-learning control system; determining multiphase fractions of the multiphase fluid from the one or more ultrasonic waveforms with a first ML model; determining a total flow rate of the multiphase fluid from the measured properties of the multiphase fluid with a second ML model; and determining a volumetric flow rate of a liquid phase or a gas phase based on the determined multiphase fraction and the determined total flow rate.

A method and system are described for processing tissues according to particular processing protocols that are established based on time-of-flight measurements as a processing fluid is diffused into a tissue sample. In one embodiment, measurement of the time it takes about 70% ethanol to diffuse into a tissue sample is used to predict the time it will take to diffuse other processing fluids into the same or similar tissue samples. Advantageously, the disclosed method and system can reduce overall processing times and help ensure that only samples that require similar processing conditions are batched together.

A battery is subjected to ultrasound waves, and resulting re-emitted ultrasound waves are recorded. Based upon how the waves are distorted or reflected, a state of pores within the battery can be evaluated. This evaluation can be used to verify a rating of the battery included in received data regarding the battery.

The present invention is related to techniques for the inspection of joints and repairs in pipelines. In this scenario, the present invention provides a method for the inspection of joints in composite pipes and of composite repairs in metal pipelines, comprising the steps of (i) emitting a series of acoustic wave pulses, at different frequencies, from a collar of acoustic transducers (4) positioned at a predetermined distance from the joint (5) or repair (1) to be inspected, (ii) recording, during a time interval subsequent to the emission, the echoes of the wave displacements up to the repair or joint in each of the transducers of the collar of acoustic transducers (4) in the form of A-Scan, and (iii) generating a planarized C-Scan image, by means of the CSM method, for each pulse emission frequency from the collar of acoustic transducers (4). The invention further provides a system for the inspection of joints in composite pipes and of composite repairs in metal pipelines associated with the method described above.

Provided is a member state evaluation method that makes more highly accurate instantaneous understanding of various states of a member to be tested possible without reliance on the shape of the member, the testing environment, or the skill level of the tester. The member state evaluation method is provided with: a state evaluation database construction step for constructing a state evaluation database by determining a plurality of vibration points and measurement points for each analysis model, carrying out vibration at the vibration points, measuring the acoustic signal generated by the vibration at the measurement points, carrying out frequency analysis, and thereby obtaining, as state evaluation data, frequency distribution data acquired for each vibration point and each measurement point that includes the natural frequencies for each of a plurality of modes; an actual measurement state evaluation data acquisition step for acquiring, as actual measurement state evaluation data, frequency distribution data for the member to be tested that includes the natural frequencies of each of the plurality of modes; and a state evaluation step for evaluating the member to be tested by comparing the acquired actual measurement state evaluation data and all the state evaluation data of the state evaluation database.

Provided in some embodiments are systems and methods for preparing oriented samples of a laminated rock having different lamination orientations, for each of different stress-levels, transmitting an acoustic pulse through each oriented sample while tri-axially compressing the oriented sample at the stress-level to generate test data indicative of acoustic velocities through the laminated rock at different combinations of lamination orientations and stress levels, determining acoustic velocities through the laminated rock at the different combinations of lamination orientations and stress levels based on the test data, generating a rock model for the laminated rock based on the acoustic velocities, and determining a property of a second laminated rock (e.g., total organic carbon (TOC) content) based on the rock model for the laminated rock.

A device and a method for detecting at least one defect in a test object (2). At least one test head (1) radiates an ultrasonic signal at different measuring points (MP) into the test object (2) with each point at an insonation or radiation angle (α) in order to ascertain multiple measurement data sets (MDS). The angle is constant for each data set (MDS). An analyzing unit (4) carries out an SAFT (Synthetic Aperture Focusing Technique) analysis for each ascertained measurement data set (MDS) using a common reconstruction grid (RG) inside the test object (2) in order to calculate an SAFT analysis result for each measurement data set (MDS). The analyzing unit (4) superimposes the calculated SAFT analysis results in order to calculate an orientation-independent defect display value (S.sub.RP) for each reconstruction point (RP) of the common reconstruction grid (RG).

A motor noise detecting device according to an embodiment of the present disclosure includes a signal sensing part for sensing an acoustic signal generated from an object to be tested, a data acquisition part for receiving the acoustic signal sensed by the signal sensing part and converting it into an acoustic digital signal, and a data analysis part for receiving and analyzing the acoustic digital signal to perform a detection on whether the object to be tested is abnormal. In addition, the signal sensing part includes an AE (Acoustic Emission) sensor for sensing an elastic wave included in the acoustic signal, and the data analysis part generates result data of analyzing the acoustic digital signal, analyzes the generated result data through a pre-learned model, and detects whether the object to be tested is abnormal.