73results about "Impedence" patented technology

Embodiments are disclosed for crash detection on one or more mobile devices (e.g., smartwatch and / or smartphone). In some embodiments, a method comprises: detecting, with at least one processor, a crash event on a crash device; extracting, with the at least one processor, multimodal features from sensor data generated by multiple sensing modalities of the crash device; computing, with the at least one processor, a plurality of crash decisions based on a plurality of machine learning models applied to the multimodal features; and determining, with the at least one processor, that a severe vehicle crash has occurred involving the crash device based on the plurality of crash decisions and a severity model.

A technique includes: a process chamber configured to process a substrate; a transferor configured to transfer the substrate; a component relating to at least one of the process chamber or the transferor; a memory storing a plurality of operation events; a plurality of areas in each of which at least one of the process chamber, the transferor, or the component is provided; a detector provided in at least one of the plurality of areas and configured to be capable of detecting an operating sound of the component; and a controller is configured to be capable of controlling the component and the detector to select one area of the plurality of areas, which corresponds to each of the plurality of operation events, and to acquire detection data from the detector provided in the selected one area.

A method in which an acoustic sensor disposed in a polishing apparatus can be accurately calibrated is disclosed. In this method, polishing sounds of a substrate are acquired using an acoustic sensor; and then at least two distinctive sounds, having distinctive frequencies respectively, are selected from the acquired polishing sounds. Further, the at least two distinctive sounds are output from a sound source coupled to any of a polishing table, the acoustic sensor, and a substrate holder to cause the at least two distinctive sounds to be input to the acoustic sensor. Next, output values of the acoustic sensor are calibrated, such that the output values of the acoustic sensor relative to the at least two distinctive sounds come within an allowable range.

The present invention relates to a water hammer and water leakage detection system which makes it possible to detect pressure waves, propagated in a pipe by water hammer of a piping system, and a water leakage sound, at the moment a water leakage occurs due to the effects of the pressure waves, and thereby estimate the water leakage position and analyze the effects of the water hammer on the water leakage position. More specifically, the water hammer and water leakage detection system comprises: remote pipe abnormality detection devices (1) which are installed at respective measurement points designated spaced apart in the pipe and, when water hammer is detected according to pressure, generate and transmit sound data before and after the water hammer; and a pipe abnormality analysis device (2) which, when sound data is transmitted from a plurality of the measurement points in response to the occurrence of water hammer, detects the magnitude of the water leakage sound according to the sound change at each of the measurement points before and after the water hammer, detects a water leakage section according to a distance attenuation constant for each section calculated using the magnitude of the water leakage sound at each of the measurement points, and estimates the water leakage position.

Disclosed herein are ultrasound shear elastography apparatuses that include a longitudinal shear vibration intensifier and a longitudinal shear vibration estimator. The longitudinal shear vibration estimator can be an ultrasound imaging array that is co-located at a surface of the longitudinal shear vibration intensifier. The longitudinal shear vibration intensifier can be a vibrating concave piston.

Disclosed is a method for monitoring an environment by using a surveillance robot. The method comprises the steps of: moving the surveillance robot to a surveillance position for monitoring an object to be monitored, located in the environment; obtaining, by the surveillance robot, sound data corresponding to a sound signal generated from the object to be monitored at the surveillance position; and determining whether the object to be monitored is in an abnormal state on the basis of the obtained sound data.

The invention relates to a device for monitoring the assembly of a component, comprising a structure-borne sound sensor (3), which is designed to detect structure-borne sound and to generate a sensor signals that can be processed in a signal detection electronics system (6), wherein the structure-borne sound sensor (3) is attached to a finger cap (2), which can be placed on a finger of a user carrying out the assembly or it can be placed on or adhered to a glove finger. The invention also relates to a monitoring system (9) and a method for monitoring the assembly of a component.

The invention relates to collision detection on a mobile device. Embodiments for collision detection on one or more mobile devices (e.g., smartwatch and / or smartphone) are disclosed. In some embodiments, a method includes detecting a collision event on a collision device; extracting a multi-modal feature from sensor data generated by a plurality of sensing modalities of the collision device; calculating a plurality of collision decisions based on a plurality of machine learning models applied to a multi-modal feature, wherein at least one multi-modal feature is a rate of rotation about an average rotation axis; and determining that a severe vehicle collision involving the collision device has occurred based on the plurality of collision decisions and the severity model.

Embodiments for collision detection on one or more mobile devices (e.g., smartwatch and / or smartphone) are disclosed. In some embodiments, a method comprises: detecting a collision event on a collision detection device; extracting multimodal features from sensor data generated by multiple sensing modalities of the collision detection device; calculating a plurality of collision decisions based on a plurality of machine learning models applied to the multimodal features, wherein at least one multimodal feature is a rotation rate about a mean rotation axis; and determining that a severe vehicle collision has occurred, involving the collision detection device, based on the multiple collision decisions and a severity model.

This disclosure relates to porous matrices for acoustic impedance matching and improved touch sensing and fingerprint imaging. The invention discloses the use of acoustic impedance matching to improve the accuracy of ultrasonic touch sensing and fingerprint imaging. Acoustic impedance mismatch between the ultrasonic transducer array and the sensing plate can be reduced to maximize energy transfer and minimize parasitic reflections. Reduction of acoustic impedance mismatch can be achieved using: (i) a composite epoxy resin having a higher acoustic impedance than epoxy resin alone; (ii) one or more matching layers having an acoustic impedance approximately equal to the geometric mean of the acoustic impedance of the sensing plate and the acoustic impedance of the transducer array; (iii) holes or perforations in the sensing plate; or (iv) a geometry formed in the sensing plate. Furthermore, an absorbent layer can be used to suppress parasitic reflections.

An apparatus for monitoring the assembly of parts, comprising a structure-borne sound sensor (3) designed to detect structure-borne sound and generate a sensor signal that can be processed in signal acquisition electronics (6), the structure-borne sound sensor (3) being attached to a finger cap (2) that can be inserted onto a finger of a user performing the assembly, or that can be inserted onto or attached to a gloved finger. Further described are a monitoring system (9) and a method for monitoring the assembly of parts.

The application discloses a kind of blade fault diagnosis method, device, system and storage medium, the method comprises: obtaining the blade rotation audio that audio acquisition equipment is collected in the operation process of wind turbine generator unit;Based on wind noise filtering algorithm, blade rotation audio is preprocessed, and the blade rotation audio after filtering wind noise is obtained;The blade rotation audio after filtering wind noise is segmented, and the audio segment corresponding to each blade is obtained;According to each audio segment, diagnose whether the blade corresponding to each audio segment exists fault.The method provided in the embodiment of the application can diagnose whether the corresponding blade occurs fault according to the audio segment of different blades respectively, and the accuracy of diagnostic result is improved.

A method for detecting structural damage of a water turbine generator support, comprising: determining a knocking point and a response point on a water turbine generator support; arranging an acceleration sensor (7) at the response point; hammering the knocking point by means of an impact force bar (5); acquiring a signal detected by the acceleration sensor (7) and a signal detected by a force sensor (6) in the impact force bar (5); performing fitting on the basis of the signal detected by the acceleration sensor (7) and the signal detected by the force sensor (5), so as to obtain the inherent frequency, damping ratio and vibration mode of the support; and on the basis of the inherent frequency, damping ratio and vibration mode of the support, determining whether structural damage occurs to the water turbine generator support. Further provided is a system for detecting structural damage of a water turbine generator support.

A method for generating diagnostic information of a facility on the basis of acoustic data according to the present invention is a method in which a facility diagnostic device generates diagnostic information of a facility on the basis of acoustic data, and comprises the steps of: acquiring raw data related to acoustic data generated from the facility; generating a spectrogram image on the basis of the raw data, wherein the spectrogram image is image information including a first axis in a time domain, a second axis in a frequency domain, and a color indicating the strength; generating first conversion data by normalizing the spectrogram image with respect to a frequency domain; generating second conversion data by axially synthesizing the first conversion data with respect to a synthesis time section; and generating third conversion data by extracting the second conversion data with respect to a frequency band of interest, wherein in the step of generating the second conversion data, second configuration information related to the synthesis time section is configured, and the second configuration information is determined according to characteristic information of the facility.

An automotive body vibration characteristic testing method according to the present invention obtains vibration characteristics of an automotive body 100 by inputting vibration to the automotive body 100, and includes: an excitation step S1 of setting a plurality of vibration input parts 111 in the automotive body 100 supported by an air cushion 211 and vibration is input to each of the plurality of set vibration input parts 111 to excite the automotive body 100; and an oscillation measurement step S3 of measuring data on vibration characteristics of the automotive body 100 excited in the excitation step S1. In the excitation step S1, an input wave of vibration input to one of the vibration input parts 111 in the automotive body 100 is delayed from an input wave of vibration input to other vibration input parts 111.

An objective of the present invention is to provide a noise calculation device and a sound collection system capable of distinguishing between a target sound and a noise included in ambient sound. A noise calculation device 20 of the present invention calculates a noise sound pressure level of the noise included in the ambient sound of an analysis target 40, which includes the target sound emitted by the analysis target 40. The noise calculation device 20 identifies the reference sound pressure level of the target sound corresponding to a distance from the analysis target 40 to the microphone 209 using a physical model that defines a relationship between the distance and the reference sound pressure level of the target sound. The noise calculation device 20 calculates an estimated sound pressure level of the noise included in the ambient sound based on a detected sound pressure level of the ambient sound detected by the microphone 209 and the reference sound pressure level of the target sound identified using the physical model.

A rail body defect detection system according to one embodiment of the present disclosure can comprise a camera unit, a sensor unit, and a detection unit. The camera unit can comprise multiple cameras arranged in the lower part of a train to capture an image of the rail body. The sensor unit can comprise a position sensor that provides position information of the rail body. Based on the rail body image and the position information, the detection unit can determine whether the rail body is defective and provide a detection result. In the rail body defect detection system according to the present disclosure, the detection unit determines, on the basis of data obtained by mixing rail body images taken by a plurality of cameras contained in the camera unit and position information of the rail body depicted by the corresponding cameras, whether a defect exists in the rail body, thereby quickly and accurately identifying a location with a high risk of accident on the rail body.

The application provides a method for reducing and controlling the sound wave impedance of isotropic material, belongs to the technical field of material sound wave impedance, and solves the problem of difficulty in detecting gas characteristics.The technical scheme comprises the following steps: step one, selecting isotropic material;step two, obtaining the motion equation of the isotropic material;step three, using a plane wave to solve a differential equation, and obtaining the sound wave impedance Z of the material according to a sound wave impedance definition formula;step four, rotating a vector Omega = {0, eta omega, 0} to represent rotating the material along an x2 axis, and rotating a vector Omega = {0, 0, eta omega} to represent rotating the material along an x3 axis;step five, changing the sound wave impedance of the material under the condition of rotating the axis.The beneficial effects of the application are as follows: the application can introduce the Coriolis force caused by rotation into the motion equation of the isotropic material, find the relationship between the sound wave impedance and rotation, and use rotation to reduce and control the sound wave impedance.

To provide a technique for easily detecting a component state.SOLUTION: A processing chamber configured to process a substrate, a transfer unit configured to transfer the substrate, a component related to at least one of the processing chamber and the transfer unit, a storage unit configured to store a plurality of operation events, a detection unit configured to detect an operation sound of the component, and a control unit configured to acquire data of the operation sound detected by the detection unit, wherein a plurality of areas in which at least one of the processing chamber, the transfer unit, and the component is installed is set, and the detection unit is provided in at least one of the plurality of areas; The control unit is configured to be able to select at least one area from among the plurality of areas in which the operating sound is to be detected, in correspondence with each of the plurality of operation events, and acquire detection data from the detection unit in the selected at least one area.SELECTED DRAWING: Figure 1

A resonator-boosted ultrasonic transducer device is provided for communication of ultrasonic signals. The device employs a micromachined ultrasonic transducer (MUT), such as a piezoelectric MUT (pMUT) or capacitive MUT (cMUT), and a matching network in electrical communication with the MUT. The matching network employs a microelectromechanical (MEMS) resonator having a working frequency selected to increase a voltage difference across electrodes of the MUT. The matching network is connected in series between the MUT and input source circuitry for transmission of outgoing ultrasonic signals. The matching network is connected between the MUT and load impedance circuitry to increase voltage from the MUT during reception of incoming ultrasonic signals. The matching network can be selected to configure the frequency of bandwidth of the device as desired for a particular application.

An automotive body vibration characteristic testing method obtains vibration characteristics of an automotive body by inputting vibration to the automotive body, and includes: an excitation step of setting a plurality of vibration input parts in the automotive body supported by an air cushion, and inputting vibration to each of the plurality of set vibration input parts to excite the automotive body; and an oscillation measurement step of measuring data on vibration characteristics of the automotive body excited in the excitation step. In the excitation step, an input wave of vibration input to one of the vibration input parts in the automotive body is delayed from an input wave of vibration input to other vibration input parts.

A toy water ball includes at least two shells that are enclosable to form a water storage cavity, each of the shells including: a mounting frame, a magnetic member and a water pocket mounted on the mounting frame. The mounting frame includes a first surface and a second surface oppositely arranged in a thickness direction thereof. When the shells are enclosed to form the water storage cavity, magnetic members of adjacent shells attract each other, and second surfaces of adjacent shells abut each other. The mounting frame is provided with an accommodation groove, a notch of the accommodation groove is located on the first surface, the magnetic member is installed in the accommodation groove, and the water pocket is connected to the first surface, and covers the notch of the accommodation groove on the first surface to seal the magnetic member in the mounting frame.

A technique includes: a process chamber configured to process a substrate; a transferor configured to transfer the substrate; a component relating to at least one of the process chamber or the transferor; a memory storing a plurality of operation events; a plurality of areas in each of which at least one of the process chamber, the transferor, or the component is provided; a detector provided in at least one of the plurality of areas and configured to be capable of detecting an operating sound of the component; and a controller is configured to be capable of controlling the component and the detector to select one area of the plurality of areas, which corresponds to each of the plurality of operation events, and to acquire detection data from the detector provided in the selected one area.

A sensor for measuring the viscoelastic properties of a material comprises a rigid support (10) and a membrane (11) fixed to the support (10), the material being intended to come into contact with an outer face (111) of the membrane (11). The sensor further comprises an active assembly (12) having at least one piezoelectric element bonded to an inner face of the membrane (11), the active assembly (12) being configured to generate the oscillation of the membrane (11) according to a resonance mode greater than or equal to the second resonance mode of the membrane (11). Method for measuring the viscoelastic properties of a material and method for monitoring milk coagulation using such a sensor. Figure for the abstract: Fig. 2

This disclosure relates to an acoustic impedance matching layer for improved touch sensing and fingerprint imaging. The invention discloses the use of acoustic impedance matching to improve the accuracy of ultrasonic touch sensing and fingerprint imaging. Acoustic impedance mismatch between the ultrasonic transducer array and the sensing plate can be reduced to maximize energy transfer and minimize parasitic reflections. Reduction of acoustic impedance mismatch can be achieved using: (i) a composite epoxy resin having a higher acoustic impedance than epoxy resin alone; (ii) one or more matching layers having an acoustic impedance approximately equal to the geometric mean of the acoustic impedance of the sensing plate and the acoustic impedance of the transducer array; (iii) holes or perforations in the sensing plate; or (iv) geometries formed in the sensing plate. Furthermore, an absorbent layer can be used to suppress parasitic reflections.

The present application relates to pipeline coupling impedance test technical field, especially a kind of pipeline coupling impedance test support device.It includes two symmetrically arranged halves, the opposite end surface of two halves is attached, two clamps are symmetrically arranged on the inner ring of two halves, the opposite end surface of two clamps is attached and is detachably connected into an entity by connecting piece;The front and rear two axial end surfaces of the half are detachably connected spring sheet one end by connecting piece, and the front and rear two axial end surfaces of the clamp of the inner ring of half are detachably connected the other end of spring sheet by connecting piece.The clamp of the present application can constrain the radial displacement of the measured sample, at the same time, spring sheet can provide smaller axial stiffness, during the coupling impedance test process, axial excitation can cause sufficient axial response for measurement.

The present disclosure discloses a sound isolation test system for testing a test piece having a sound receiving hole. The sound isolation test system includes a test fixture and an air pressure detector. The test fixture includes an air duct cover that seals the sound receiving hole. The air pressure detector is electrically connected to the test fixture and determines the rate of change of the gas pressure in the sound receiving hole and calculates the sound isolation of the test piece based on the rate of change of the gas pressure. Furthermore, the present disclosure discloses a sound isolation test method.

The application relates to a wheel hub resonant cavity noise reduction performance evaluation method, electronic equipment and a medium, and belongs to the wheel hub production technical field, wherein the method comprises the following steps: equivalent propagation of an acoustic wave in a tire cavity to a plane wave, calculating acoustic impedance of each resonant cavity according to obtained geometric parameters of the resonant cavity; calculating total acoustic impedance after parallel connection of the resonant cavities based on the acoustic impedance; equivalent of a main cavity to a straight pipe with equal cross-sectional area and length equal to the circumference of the main cavity, calculating a transmission loss curve of the acoustic wave varying with frequency when the acoustic wave propagates a cycle distance in the straight pipe based on the total acoustic impedance and obtained geometric parameters of the main cavity, and evaluating the wheel hub resonant cavity noise reduction performance based on the transmission loss curve. The application can calculate the transmission loss curve of the acoustic wave varying with frequency in the tire cavity by inputting characteristic dimensions of the tire cavity, and further accurately predict the noise reduction effect of the resonant cavity after actual installation.

A tympanometer with built-in barometric pressure sensor, characterized by: a. A measuring arrangement for tympanometry, comprising at least one pump, a pressure sensor, a loudspeaker and a microphone, contained in or coupled to an ear probe b. A sensor for measuring barometric air pressure before, during and / or after tympanometric measurement and / or calibration

A method characterized in that it comprises the following: Detection of a collision event at a collision device (1001, 1002, 1808, 2201, 2202) with at least one processor (301, 302, 1702, 1703, 2002, 2304); Extracting multimodal features (306) from sensor data generated by multiple sensing modalities of the collision device (1001, 1002, 1808, 2201, 2202) with at least one processor (301, 302, 1702, 1703, 2002, 2304); Computing multiple collision decisions with the at least one processor (301, 302, 1702, 1703, 2002, 2304), based on multiple machine learning models (307) applied to the multimodal features (306); and Determine that a severe vehicle collision has occurred, using at least one processor (301, 302, 1702, 1703, 2002, 2304) incorporating the collision device (1001, 1002, 1808, 2201, 2202) based on the multiple collision decisions and a severity model (2204).