A bubble detection sensor includes an emitter having an emitting surface and a receiver positioned on a side of a fluid conduit opposite the emitter. The receiver has a receiving surface adapted to receive a signal emitted by the emitter through a fluid of the fluid conduit. A sensor axis extending normal to the emitting surface and the receiving surface is disposed at a rotation offset angle with respect to a plane extending normal to a longitudinal conduit axis of the fluid conduit. The rotation offset angle is set to optimize a ratio of a sensitivity of the signal received by the receiver to an efficiency of the signal received by the receiver.

A membrane defect inspection method is for a membrane module set including a plurality of membrane modules connected in parallel under a straight pipe portion of gas detection piping extending in a horizontal direction and communicating with primary spaces in the plurality of membrane modules to which raw water is supplied or secondary spaces. The method includes a gas injection process where gas is injected into spaces opposite to the primary spaces or the secondary spaces communicating with the gas detection piping while the gas detection piping is filled with water, and an echo detection process where an ultrasonic sensor is brought into contact with an end portion of the straight pipe portion of the gas detection piping, and a reflected wave of an ultrasonic wave transmitted from the ultrasonic sensor is detected.

An ultrasonic monitoring probe for internal service stress of a marine structural component. The probe includes a detection wedge provided with two symmetrically arranged inclined surfaces at its top, two connecting channels vertical to the two inclined surfaces and penetrating through the detection wedge and provided with threaded holes close to the inclined surfaces and water storage cavities far away from the inclined surfaces, two ultrasonic transducers mounted in the threaded holes of the two connecting channels and configured for generating and receiving ultrasonic waves; two bottom rings located at a bottom of the detection wedge and arranged relative to the water storage cavities and configured for attachment to a surface of a detected component, a magnet disposed in a magnet placement hole arranged at a central position between the two connecting passages, and a monitoring device electrically connected with the two ultrasonic transducers.

The present disclosure relates to an ultrasonic device for real-time and nondestructive assessment of extracellular matrix stiffness, and the method of making and using the novel ultrasonic device.

An ultrasonic measurement apparatus (1) estimates a property/state of a test object (100) that allows an injected ultrasonic wave to propagate as plate waves (UW) of propagation modes. The ultrasonic measurement apparatus (1) includes: a receiver (30) configured to receive a detected signal obtained by detecting the plate waves (UW) propagating through the test object (100) to output a received signal indicating a time-domain waveform of the detected signal; an intensity detector (12) configured to detect the signal intensity of a waveform part corresponding to a first propagation mode, and the signal intensity of a waveform part corresponding to a second propagation mode; and an estimator (13) configured to make a comparison between the signal intensities to estimate a property/state of the test object (100) on the basis of a result of the comparison.

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

The present disclosure relates to devices and methods for determining the density of insulation. For example, one aspect of the disclosure is a device that includes a first unit that includes a sound generator and a second unit that includes a sound sensor and a probe. The probe is configured to be inserted into insulation such that the sound sensor is outside of the insulation and is configured to detect sound that is generated by the sound generator outside of the insulation and transmitted through the insulation and the probe to the sound sensor. The device also includes a control system configured to cause the sound generator to generate the sound and to use the sound detected by the sound sensor to generate output that represents the density of the insulation.

Systems and methods for prediction of state of charge (SOH), state of health (SOC) and other characteristics of batteries using acoustic signals, includes determining acoustic data at two or more states of charge and determining a reduced acoustic data set representative of the acoustic data at the two or more states of charge. The reduced acoustic data set includes time of flight (TOF) shift, total signal amplitude, or other data points related to the states of charge. Machine learning models use at least the reduced acoustic dataset in conjunction with non-acoustic data such as voltage and temperature for predicting the characteristics of any other independent battery.

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.

Method for manufacturing a pipe for a pipeline, wherein at least part of the pipe is manufactured by additive manufacturing process, wherein at least one space for an ultrasonic transducer is formed inside the material of the pipe during the additive manufacturing process. The additive manufacturing process is interrupted before the space in closed, and the ultrasonic transducer is inserted in the open space, and the additive manufacturing process for manufacturing the pipe is continued. The invention also relates to such a pipe.