A rotating machine abnormality detection device of an embodiment includes a non-contact acoustic emission sensor, an analyzer, and a diagnoser. The non-contact acoustic emission sensor, arranged at a position spaced away by a predetermined distance from a measurement target acting as a rotating member or a measurement target rotatably supporting the rotating member, is configured to detect acoustic emission that occurs during rotation of the measurement target or the rotating member supported by the measurement target and propagates in an atmosphere. The analyzer is configured to perform time-frequency analysis on a detection signal of the non-contact acoustic emission sensor. The diagnoser is configured to detect occurrence of a rotation abnormality when a frequency component equal to or larger than a predetermined threshold value is present in a predetermined frequency band, based on an analysis result of the analyzer.

In a measuring arrangement for determining properties of a material to be extruded while an extrusion process is being carried out in an extruder, at least one extruder screw is rotatably mounted in a tubular guide in a barrel and is connected to a rotary drive. Material to be extruded is fed to the tubular guide at one end and is removed as finish-extruded material at an oppositely arranged discharge. Arranged at measuring positions at predeterminable defined intervals on the wall of the tubular guide along the longitudinal axis of the extruder screw are multiple first sound transducers, which are designed for the detection of sound waves that are generated during the extrusion process by the extrusion process as process noises and/or are emitted by a second sound transducer, arranged at one end of the tubular guide, in the direction of the longitudinal axis of the extruder screw and into the material to be extruded that is conveyed through a mixing chamber present in the tubular guide.

In a measuring arrangement for determining properties of a material to be extruded while an extrusion process is being carried out in an extruder, at least one extruder screw is rotatably mounted in a tubular guide in a barrel and is connected to a rotary drive. Material to be extruded is fed to the tubular guide at one end and is removed as finish-extruded material at an oppositely arranged discharge. Arranged at measuring positions at predeterminable defined intervals on the wall of the tubular guide along the longitudinal axis of the extruder screw are multiple first sound transducers, which are designed for the detection of sound waves that are generated during the extrusion process by the extrusion process as process noises and/or are emitted by a second sound transducer, arranged at one end of the tubular guide, in the direction of the longitudinal axis of the extruder screw and into the material to be extruded that is conveyed through a mixing chamber present in the tubular guide.

Operating parameters are selected for inspecting a structure. Selecting the operating parameters includes exciting broadband ultrasonic guided waves in a multilayered structure, acquiring data corresponding to the sensed broadband ultrasonic guided waves in the multilayered structure, selecting one or more narrow frequency bands based on the acquired data, and inspecting the multilayered structure using ultrasonic guided waves in the one or more narrow frequency bands. In some examples, the data is acquired by an inspection tool capable of sensing the broadband ultrasonic guided waves in the multilayered structure.

A vibronic sensor used to determine a process variable of a medium in a container comprises a mechanically vibratable unit, a drive/receiving unit, and an electronic unit. The drive/receiving unit excites mechanical vibrations in the mechanically vibratable unit via an electric excitation signal and receives the mechanical vibrations of the mechanically vibratable unit and convert same into an electric reception signal. The electronic unit is designed to generate the excitation signal on the basis of the reception signal and determine the process variable from the reception signal. The electronic unit includes an adaptive filter and is designed to set the filter characteristic of the adapter filter to produce a target phase offset between the excitation and reception signals. The sensor also has a detection unit to determine a phase offset between the excitation signal and the reception signal and/or the amplitude of the reception signal using a quadrature demodulation.

A vibronic sensor used to determine a process variable of a medium in a container comprises a mechanically vibratable unit, a drive/receiving unit, and an electronic unit. The drive/receiving unit excites mechanical vibrations in the mechanically vibratable unit via an electric excitation signal and receives the mechanical vibrations of the mechanically vibratable unit and convert same into an electric reception signal. The electronic unit is designed to generate the excitation signal on the basis of the reception signal and determine the process variable from the reception signal. The electronic unit includes an adaptive filter and is designed to set the filter characteristic of the adapter filter to produce a target phase offset between the excitation and reception signals. The sensor also has a detection unit to determine a phase offset between the excitation signal and the reception signal and/or the amplitude of the reception signal using a quadrature demodulation.

The invention comprises a device and method to estimate the elasticity of soft elastic solids from surface wave measurements. The method is non-destructive, reliable and repeatable. The final device is low-cost and portable. It is based in audio-frequency shear wave propagation in elastic soft solids. Within this frequency range, shear wavelength is centimeter sized. Thus, the experimental data is usually collected in the near-field of the source. Therefore, an inversion algorithm taking into account near-field effects was developed for use with the device. Example applications are shown in beef samples, tissue mimicking materials and in vivo skeletal muscle of healthy volunteers.

The invention comprises a device and method to estimate the elasticity of soft elastic solids from surface wave measurements. The method is non-destructive, reliable and repeatable. The final device is low-cost and portable. It is based in audio-frequency shear wave propagation in elastic soft solids. Within this frequency range, shear wavelength is centimeter sized. Thus, the experimental data is usually collected in the near-field of the source. Therefore, an inversion algorithm taking into account near-field effects was developed for use with the device. Example applications are shown in beef samples, tissue mimicking materials and in vivo skeletal muscle of healthy volunteers.

A connector assembly and method of attaching the same to one or more biosensor module boards. The connector assembly includes a body portion defining a first surface and a second surface opposite the first surface. The connector assembly also includes a coaxial RF connector positioned in the body portion and extending between the first surface and the second surface. The coaxial RF connector includes a ground ring, an RF pin positioned within the ground ring, and dielectric therebetween. The connector assembly is configured to be coupled to an RF detection board such that the coaxial RF connector is operably coupled thereto. The connector assembly is also configured to be connected to a biosensor module board such that the coaxial RF connector is operably connected thereto.

A system for determining a trigger amplitude indicating a precursor to a material fracture in a specimen under test includes a microphone converting acoustic emission emitted by the specimen under test into electrical signals. A load is exerted upon the specimen under test and the acoustic emission are emitted when the load causes the specimen under test to undergo deformation prior to the material fracture. A control module is in electrical communication with the microphone and executes instructions to monitor the electrical signals generated by the microphone and filter the electrical signals generated by the microphone. The control module converts the electrical signals generated by the microphone into individual frequency components based on a fast Fourier Transform (FFT). The individual frequency components each include a peak intensity. The control module determines the trigger amplitude based on the peak intensity of the individual frequency components of the FFT.