125results about "Impedence" patented technology

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.

The invention provides a parameter determination method of a flexible support and a related device, and relates to the photovoltaic field. In the application, after the excitation force is applied to the preset excitation position in the flexible bracket, the flexible bracket freely vibrates according to the inherent frequency, and the damping influence and the free vibration are continuously attenuated in the vibration process of the flexible bracket, so that the inherent frequency and the damping can be calculated by using the time history data during the free vibration of the flexible bracket; the problem that parameters of the flexible support need to be determined urgently is solved.

The invention relates to a test stand system for testing a driver assistance system with an acoustic audible sound sensor for an automotive vehicle, wherein the driver assistance system includes a control unit for processing sensor signals, which is configured to process sensor signals from environment sensors and to control the automotive vehicle on the basis thereof, wherein at least one of the environment sensors is the audible sound sensor configured to detect audible sound, and wherein the test stand system comprises:a test stand configured in such a way that the driver assistance system, in particular can be operated on the test stand;a simulation device configured to simulate an environment of the automotive vehicle, wherein the simulated environment comprises an acoustic audible sound environment; anda first interface for providing the simulated environment including the acoustic audible sound environment to the driver assistance system.

The invention discloses a structural damage detection system and method for a rack of a hydro-generator. The method comprises the following steps: determining a knocking point and a response point on the rack of the hydro-generator; arranging an acceleration sensor at the response point; the knocking point is hammered through an impact force rod; acquiring a signal detected by an acceleration sensor and a signal detected by a force sensor in the impact force bar; fitting according to the signal detected by the acceleration sensor and the signal detected by the force sensor to obtain the inherent frequency, the damping ratio and the vibration mode of the rack; and judging whether the hydraulic generator rack has structural damage according to the inherent frequency, the damping ratio and the vibration mode of the rack. The system and the method can judge whether the hydraulic generator mechanism and the support arm have structural damage.

Proposed is a diagnostic sensing structure for a drone's drive system and a block-type diagnostic device for a drone's drive system including the same, which, by having a diagnostic sensor unit measuring physical quantities generated from the drone's drive system, may accurately diagnose any abnormalities in the drive system such as a motor and blade before flight, may detect abnormal operation of the drone's drive system during takeoff and landing by configuring, together with a general block-type dummy pad, a block-type sensor pad that detects abnormal operation of the drive system as a takeoff and landing site for drones, and may significantly reduce the costs of building a station and diagnostic system for drones.

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.

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.

Methods, systems, and devices for determining an acoustic parameter of a downhole fluid using an acoustic assembly. Methods include transmitting a plurality of pulses; measuring values for at least one wave property measured for reflections of the plurality of pulses received at at least one acoustic receiver, including: a first value for a first reflection traveling a first known distance from a first acoustically reflective surface having a first known acoustic impedance, a second value for a second reflection traveling a second known distance substantially the same as the first known distance from a second acoustically reflective surface having a second known acoustic impedance, and a third value for a third reflection traveling a third known distance from a third acoustically reflective surface having a third known acoustic impedance substantially the same as the second acoustic impedance; and estimating the acoustic parameter using the values.

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.

Disclosed is an electronic device for diagnosing and calibrating noise / vibration. This device comprises: a plurality of components; a memory for storing setting information for the operation of each of the plurality of components; and a processor, wherein the processor sequentially drives the plurality of components if a test mode for diagnosing noise / vibration is executed, selects at least one of the plurality of components as a calibration target on the basis of a noise / vibration state of each of the plurality of components, drives the component selected as the calibration target while sequentially changing operation states thereof, and stores, if one of the operation states is selected, setting information corresponding to the selected operation state in the memory.

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 an acoustic signal analysis method and system for ball mill grinding efficiency evaluation. More specifically, the present invention provides an acoustic signal analysis method for ball mill grinding efficiency evaluation, the method being performed by an acoustic signal analysis system and comprising the steps of: collecting an acoustic signal, which is collected during a ball mill process and emitted outside a container; performing a fast Fourier transform on the basis of the acoustic signal so as to obtain frequency-specific acoustic signal intensities; and extracting acoustic signals that require analysis.

Methods, systems, and devices for determining an acoustic parameter of a downhole fluid using an acoustic assembly. Methods include transmitting a plurality of pulses; measuring values for at least one wave property measured for reflections of the plurality of pulses received at at least one acoustic receiver, including: a first value for a first reflection traveling a first known distance from a first acoustically reflective surface having a first known acoustic impedance, a second value for a second reflection traveling a second known distance substantially the same as the first known distance from a second acoustically reflective surface having a second known acoustic impedance, and a third value for a third reflection traveling a third known distance from a third acoustically reflective surface having a third known acoustic impedance substantially the same as the second acoustic impedance; and estimating the acoustic parameter using the values.

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.

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.

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 acoustic diagnostic device of the present invention includes an operation sound collection unit that collects operation sounds of equipment, an operation section operation sound extraction unit that collects images showing the operating state of the equipment, detects predetermined operation sections of the equipment using the collected images, and extracts operation sounds for each operation section detected from the operation sounds collected by the operation sound collection unit, a sound pressure level acquisition unit that acquires sound pressure levels for each frequency band predetermined for each operation section for the operation sounds for each operation section extracted by the operation section operation sound extraction unit, a deviation calculation unit that calculates a deviation from a sound pressure level during normal operation of the same equipment, operation section, and frequency band for the sound pressure levels for each operation section and each frequency band acquired by the sound pressure level acquisition unit, and an abnormal part identification unit that identifies an abnormal part of the equipment based on the deviation calculated by the deviation calculation unit.

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 degradation level of a noise source is predicted by performing deep learning using frequency data indicative of vibration of the noise source during a certain period and degradation data indicative of degradation of the noise source during a predetermined period to determine a state estimation model. During a monitoring period, a first vibration signal is measured at a noise point. The first vibration signal is converted into a frequency domain, and the frequency domain converted first vibration signal is input into a state estimation model to estimate time series degradation data of degradation of the noise source during the monitoring period. A degradation prediction model is determined by deep learning using the time series degradation data. Degradation data indicative of predicted degradation of the noise source during a prediction period is predicted via the degradation prediction model. And the residual service life of the noise source can be calculated.

A method for estimating actuator parameters of an actuator in situ and in real time may include: driving the actuator with a test signal that is imperceptible to a user of the device including the actuator during real-time operation of the device, measuring a voltage and a current associated with the actuator and caused by the test signal, determining one or more parameters of the actuator based on the voltage and current, determining an actuator type of the actuator based on the one or more parameters, and controlling a playback signal to the actuator based on the actuator type.

The purpose of the present invention is to provide an apparatus for detecting trespassing, the apparatus including: a plurality of main bodies (110) installed at selected positions in a sensing area; a plurality of barrier ropes (120) for blocking trespassing, which connect the main bodies (110) to one another in the horizontal direction and are arranged to be spaced apart at predetermined intervals in the vertical direction; and a detection unit (130) that pulls the plurality of barrier ropes (120) in a specified direction to keep same in tension and can detect changes caused by shaking or cutting of the barrier ropes (120) during a trespassing process. The present invention keeps the ropes in tension by pulling the ropes in the specified direction with weak tension, and thus immediately detects and senses a shaking or cutting state of the ropes occurring during a trespassing process, resulting in the effect of enabling rapid follow-up actions.

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.