A method for reconstructing a three-dimensional surface of a part using an ultrasonic matrix sensor including scanning the three-dimensional surface using a matrix sensor at different measurement points located at the intersection of scanning rows and of increment rows at each measurement point, acquiring a temporal row image representing a reflected wave amplitude received by each element from a selected row of the matrix sensor and acquiring a temporal column image representing a reflected wave amplitude received by each element from a selected column of the matrix sensor, constructing a two-dimensional row image for each scanning row on the basis of the temporal row images constructing a two-dimensional column image for each increment row on the basis of the temporal column images, and constructing a three-dimensional image on the basis of the two dimensional row images and of the two-dimensional column images.

An onboard track machine wear measurement system has an ultra-sonic probe that is attached to an undercarriage of the machine that is disposed adjacent a track chain assembly, and a controller that is in communication with the ultra-sonic probe. The controller is configured to determine the thickness of a load bearing wall of a track component of the track chain assembly.

Integrated probes and probe systems suitable for attachment to a robotic arm of a remotely operated vehicle are disclosed. The probes and probe systems serve to perform cleaning operations and both cathodic protection (CP) voltage measurements and ultrasonic testing (UT) thickness measurements at an underwater surface. The cathodic protection measurement system includes one or more electrically conductive legs that extend outwardly from the probe. These legs are arranged about a cleaning tool and an ultrasonic sensor. When the integrated probe contacts the underwater surface, at least one leg contacts the surface, thereby providing a desired distance between the probe and the underwater surface for efficient cleaning and UT inspection. The underwater surface can be cleaned and CP and UT measurements can all be performed using a single, integrated probed during a single operation, without having to reposition the probe.

The subject technology relates to a process by which data from two downhole loggers (e.g., acoustic transducers), one at each end of a pipeline, can be used to improve the resolution of a pressure pulse system, even for slow valve operating times. For example, the process of the subject technology uses data from two transducers (e.g., acoustic transducers), instead of one transducer typically employed in traditional approaches, thereby leading to increased resolution of the deposit location and thickness. By improving the deposition estimation resolution, locating smaller deposits in a pipeline more accurately can be realized. The improved resolution in deposition estimation computations supports better decision making by providing more detailed measurement and quantification data for use in resolution of deposition buildup.

Embodiments disclosed herein include diagnostic substrates and methods of using such substrates. In an embodiment, a diagnostic substrate comprises a substrate, and a device layer over the substrate. In an embodiment, the diagnostic substrate further comprises a resonator in the device layer. In an embodiment, the resonator comprises a cavity, a cover layer over the cavity, and electrodes within the cavity for driving and sensing resonance of the cover layer. In an embodiment, the diagnostic substrate further comprises a reflector surrounding a perimeter of the resonator.

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.

Systems, methods, devices, and circuitries are provided for determining a material property. In one embodiment, a method includes applying non-thermal energy to a first side of a material sample; sensing, a response of the material sample to the non-thermal energy; generating non-thermal data indicative of the response; and determining a thermal property of the material sample based on the non-thermal data. In one embodiment, the method also includes determining an environmental characteristic; determining a suitability of the material sample based on the thermal property and the environmental characteristic; and displaying information related to the suitability.

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.

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.

An automated method, computer program product and device for determining a thickness of an object at a specific location, such as the determination of a wall thickness of a blade or a vane of a gas turbine. The method includes performing a plurality of ultrasonic measurements around the specific location with an ultrasonic probe of the ultrasonic measurement device, recording and storing the measurement signals, determining at least one apparent thickness of the object for each measurement, sorting the apparent thicknesses in a histogram, and determining the thickness of the object by selecting the most frequently occurring apparent thickness in the histogram.