165 results about "Mechanical wave" patented technology

The invention belongs to the technical field of electromagnetic protection, and relates to an electromagnetic protection device based on mechanical wave nonlinear attenuation, which comprises a piezoelectric substrate, and a signal input component, a nonlinear attenuation component and a signal output component which are sequentially arranged on the piezoelectric substrate at intervals, the nonlinear attenuation component comprises an energy absorption structure, a deformation structure and a rigid connection structure. The energy absorption structures are made of energy absorption materials and are arranged above the piezoelectric substrate at intervals; the deformation structure is made of a mechanical metamaterial, and two ends of the deformation structure are respectively connected with the energy absorption structure and the piezoelectric substrate; one end of the rigid connection structure is connected with the energy absorption structure, and the other end is spaced from or abutted against the piezoelectric substrate; the signal input component converts electromagnetic wave signals into mechanical waves, the nonlinear attenuation component deforms under propagation of the mechanical waves, the deformation quantity is in direct proportion to the strength of the mechanical waves, and the signal output component converts the mechanical waves into the electromagnetic wave signals and outputs the electromagnetic wave signals. According to the invention, electromagnetic protection can be realized based on mechanical wave nonlinear attenuation.

A system for delivering mechanical waves to treat a lesion present in a vessel of a body, including an external mechanical wave source for generating mechanical waves from outside of the body, and a wave directing device insertable in the vessel, the wave directing device configured to receive the mechanical waves generated by the external mechanical wave source and to redirect the mechanical waves according to a target direction.

The invention relates to the technical field of discharge monitoring and early warning, in particular to a partial discharge real-time monitoring and early warning system based on multi-source data fusion, which is characterized in that decision tree classification is carried out on a mixed transient signal flow through a signal physical separation module, and pure electromagnetic wave speed type and mechanical wave speed type signal sources are separated; the feature marking module extracts feature points with a unified time reference and marks physical attribute categories; the double-path credibility fusion module executes time difference logic verification on the two types of feature points, a credible discharge event is marked only when an electromagnetic wave verification result and a mechanical wave verification result are logic values 1 at the same time, event confidence parameters are generated through dynamic confidence fusion, and physical interlocking verification and uniqueness locking are achieved; the anti-interference response module dynamically adjusts a response threshold value based on the event confidence parameter, and only triggers a targeted response to the threat which is physically and essentially confirmed to be real discharge and has confidence reaching the standard; the problem of distinguishing a real discharge event from multi-source interference is solved, and the real discharge event is reliably identified.

In combined methods for treating a patient using time-varying magnetic field, treatment methods combine various approaches for aesthetic treatment. A magnetic field generating device is placed proximate to a body region of the patient. The magnetic field generating device generates a time-varying magnetic field with a magnetic flux density in a range of 0.5 to 7 Tesla. The time-varying magnetic field is applied to the body region of the patient in order to cause a contraction of a muscle within the body region. A second therapy may be used by applying one or more of optical waves, radio frequency waves, mechanical waves, negative or positive pressure or heat to the body region of the patient.

The embodiment of the invention provides a power transformer fault identification method and device, equipment and a medium. The method comprises the following steps: acquiring a multi-source mechanical wave signal in an operating environment of the power transformer, and performing short-time Fourier transform on the multi-source mechanical wave signal to obtain a multi-channel time domain matrix in the same time domain; determining a comprehensive feature corresponding to the multi-channel time domain matrix based on a multi-level feature weighting strategy, and determining a global association feature of the multi-channel time domain matrix based on the comprehensive feature; determining a pseudo tag of the global association feature through a preset semi-supervised learning model, and determining a fault category tag corresponding to the global association feature based on the pseudo tag and a real tag of the global association feature; and determining a fault category corresponding to the power transformer based on the fault category label. The method is used for achieving the effects of improving the real-time performance, accuracy and robustness of power transformer fault identification in a complex environment, further improving the operation reliability of the power transformer and guaranteeing the safety of a power grid.

The invention provides an active vibration elimination system and method for semiconductor equipment, the active vibration elimination system is internally provided with a data acquisition device, a control device and a vibration generation device, the vibration generation device can generate vibration waves with adaptive frequency, adaptive phase and adaptive amplitude, and the vibration waves with adaptive frequency, adaptive phase and adaptive amplitude can be generated on the basis of the interference principle of mechanical waves. An active vibration elimination method is utilized to generate anti-phase vibration waves to destructively interfere original vibration waves so as to eliminate or partially eliminate measured external vibration waves, so that vibration waves generated by various kinds of production equipment can be counteracted or partially counteracted by vibration waves generated by a vibration generation device in the production process of semiconductors, and therefore, the production efficiency of the semiconductors is improved. And the glass IC carrier plate is not excited to generate resonance, so that the glass IC carrier plate is not broken, and a production plate is not influenced or a production process is not polluted.

The invention relates to the technical field of corrosion detection, and discloses an anchor rod non-excavation corrosion detection method and system based on multi-modal mechanical waves, and the method comprises the steps: arranging an exciter on the surface of an anchor rod, generating the multi-modal mechanical waves, and collecting mechanical wave signals in propagation through a multi-point receiver; performing digital processing on the mechanical wave signal, inverting a signal time sequence through time reversal, generating a time reversal mirror image signal, re-injecting the time reversal mirror image signal into the anchor rod, and positioning a corrosion area; and analyzing the characteristic parameters of the time reversal mirror image signal, and calculating the corrosion depth and range in combination with the propagation characteristics of the multi-modal mechanical wave, thereby realizing quantitative evaluation of the corrosion degree. According to the method disclosed by the invention, signal focusing is realized by exciting multi-mode mechanical waves and combining a time reversal mirror image technology, so that a corrosion area can be accurately positioned; the signal quality is optimized through dynamic gain control, and signal attenuation is effectively compensated; the propagation characteristics of multi-modal waves are utilized to cover different depths and ranges, and quantitative evaluation of the corrosion depth and range is achieved.

The invention discloses a corrosion defect identification method and system based on multi-modal mechanical wave characteristics, and the method comprises the steps: exciting a multi-modal mechanical wave, and planning a mechanical wave propagation path; arranging a sensor array, and collecting and synchronously processing a multi-mode mechanical wave signal; performing time-frequency analysis on the acquired multi-modal mechanical wave signal, and extracting the phase change characteristics of the multi-modal mechanical wave; based on the phase change characteristics of the multi-modal mechanical waves, positioning corrosion defect positions in combination with the propagation path information of the mechanical waves; and identifying and classifying different types of corrosion defects in combination with phase change, amplitude attenuation and propagation path offset information. According to the invention, through excitation and propagation path planning of multi-modal mechanical waves, a material detection area is fully covered, the possibility of signal distortion and missing detection is reduced, and through time-frequency analysis and phase difference analysis, the identification capability of tiny defects is improved.

The invention relates to a method for detecting a defect in a structure using high-frequency mechanical waves. This method comprises: - acquiring (216) first signals S1,i measured by a first sensor and second signals S2,i measured, in parallel, by a second sensor, then - identifying (222), via a method of statistical analysis, in each signal S1,i, variations in this signal S1,i that are correlated with variations in the signal S2,i and, in each signal S2,i, variations in this signal S2,i that are correlated with variations in the signal S1,i, then - removing (230), from each of the signals S1,i and S2,i, variations in the signal that are identified as being correlated with variations in the other signal, to obtain signals Sc1,i and Sc2,i corrected for environmental variations common to the first and second sensors, then - detecting (250) defects based on the corrected signals Sc1,i and Sc2,i.

The invention discloses a corrosion signal detection method and system based on multi-mode mechanical waves, and relates to the technical field of nondestructive testing, and the method comprises the steps: correcting an elastic modulus through the physical characteristics and environmental conditions of a detection material, obtaining a boundary rebound mode value of the detection material, and designing a multi-band composite waveform signal; exciting a composite waveform signal by using a transducer, collecting a multi-band reflection and projection signal through a sensor, and carrying out time domain correction; and performing wavelet packet transformation on the multi-band reflection signal and the projection signal to generate a three-dimensional defect image, processing the three-dimensional defect image, and displaying a defect area through a visual tool. According to the method, on the basis of the corrected elastic modulus and the boundary rebound modal value of the detection material, the optimal frequency is calculated, the composite waveform signal containing the low frequency, the intermediate frequency and the high frequency is designed, defects of different depths are comprehensively covered, and therefore the comprehensiveness and accuracy of detection are improved.

The invention relates to a method for monitoring the physical state of a longitudinal element (IO) of a railway-type rail, the method having a step of detecting mechanical waves moving along the longitudinal element (IO), in particular due to the passing of a train, by means of an array of mechanical wave sensors placed along and in contact with the longitudinal element, the array having at least one first pair (A) of sensors each positioned at one end of a first portion (IOa) of the longitudinal element (IO), and a step of processing the signals emitted by the sensors in the array of sensors, the processing step having the determination of at least one first interfered signal determined from signals provided by the sensors in the first pair (A) of sensors over a first predetermined period of time.

The invention discloses a double-sliding-table linear module and a control method, and the double-sliding-table linear module comprises a base which is provided with an electromagnetic coil group on the inner surface; permanent magnet arrays are fixed at the bottoms of the first sliding table and the second sliding table, and the first sliding table and the second sliding table suspend above the base through electromagnetic force; the two ends of the elastic linkage rod are hinged to the two sliding tables through universal joints, and a piezoelectric ceramic sensor is arranged in the rod; the piezoelectric actuators are embedded into the four corners of the base and used for generating reverse damping waves to suppress vibration; and the vibration accelerometer is installed at the center of the sliding table, the FFT analysis module and the damping wave generation module are connected, and the damping wave generation module outputs a reverse phase signal to the piezoelectric actuator. According to the invention, the electromagnetic coil group and the permanent magnet array interact to generate suspension force, so that the sliding table is suspended on the base; the piezoelectric sensor detects deformation and triggers compensation; the piezoelectric actuator generates reverse mechanical waves to counteract vibration energy so as to construct a non-contact driving double-sliding-table infrastructure, friction is eliminated through magnetic suspension, and the elastic linkage rod reduces the cooperation error.

The present disclosure relates to compact waveguide impact devices. One example includes a branching compact mechanical waveguide that has at least one input impact location and at least one input impact location output impact point. The compact waveguide impact device also includes at least one input impact component. A controller device activates the at least one input impact component to strike the at least one input impact location according to an input impact pattern, thereby producing a desired output impact pattern.

Embodiments of this disclosure are directed to a wearable device having a housing, a display, and a sensor system. The display is at least partially surrounded by the housing. The sensor system is housed at least partially in the housing. The sensor system includes a first sensor, a second sensor, and a controller. The first sensor is configured to contact a body part of a user and generate a first signal. The second sensor is configured to sense a mechanical wave in an ambient environment of the wearable device and generate a second signal. The controller is configured to generate a resultant signal by removing noise from the first signal using the second signal, and determine a health parameter of the user from the resultant signal.

The present application relates to the technical field of power hardware processing and manufacturing, and particularly relates to a cross arm production process. The process comprises: after a fluid-incompressible pressure-maintaining rigid boundary is constructed by pressing a main hydraulic cylinder, starting a microseismic device to directionally inject high-frequency mechanical microseismic kinetic energy into the cross arm; synchronously extracting a back pressure feedback value in a sealed loop and monitoring a dynamic attenuation slope thereof in real time; when the slope is detected to be flat and to be in an attenuation stagnation of internal stress release, under a timing safety interlock protection mechanism for executing confirmation of mechanical wave calming, triggering a high-frequency electrically-controlled proportional overflow valve to execute millisecond-level transient micro-pressure relief and extremely fast pressure reconstruction, so as to provide a transient volume yielding space for metal lattice rearrangement; and finally completing final state confirmation when the absolute value of the back pressure is stabilized at a zero rebound threshold. The present application can solve or at least alleviate the secondary rebound problem caused by lattice distortion residual strain energy accumulation in the forming of thick-walled metal components, and improve the production quality of the cross arm.

The invention relates to a tool replacement early warning method, a tool replacement early warning device and a numerical control machining system. The tool replacement early warning method is applied to the tool replacement early warning device. The cutter comprises a functional layer and a transition layer; the tool replacement early warning device stores a normal operation interval of mechanical wave data when the tool normally machines a workpiece; the method comprises the following steps: acquiring to-be-detected mechanical wave data generated by an operation tool in the process of processing an operation workpiece at a set frequency, and judging whether the to-be-detected mechanical wave data exceeds the normal operation interval or not; and when the to-be-detected mechanical wave data exceed the normal operation interval, outputting an early warning signal. According to the invention, precise monitoring of wear in the tool operation process can be realized, and timely early warning can be realized.

The invention relates to a temporomandibular joint vibration mechanical wave collection and recognition method, and belongs to the technical field of medical instruments.The temporomandibular joint vibration mechanical wave collection and recognition method comprises the steps that a sensor assembly collects a vibration mechanical wave signal to generate a simulation piezoelectric signal; the analog piezoelectric signals are converted into digital piezoelectric signals through signal amplification and analog-to-digital conversion, feature extraction is conducted on the digital piezoelectric signals to obtain feature parameters of the digital piezoelectric signals, the feature parameters are input into a trained random forest model, and a recognition result about whether the temporomandibular joint vibration mechanical waves are abnormal or not is obtained. The problem that in the prior art, the temporomandibular joint vibration mechanical wave recognition effect is not ideal is solved.

The invention discloses a vibration and noise reduction transmission system and rotary excavating power equipment, and relates to the technical field of power transmission, the vibration and noise reduction transmission system comprises a driving device, a driven device and a transmission device, the transmission device is in contact connection with the driving device and the driven device, and the transmission device comprises a pressurizing part and a vibration reduction part; the pressurizing part is a hard part and is used for power transmission, the vibration reduction part is an elastic energy absorption part and is used for generating elastic deformation when the pressurizing part transmits power, and the vibration transmission frequencies of different positions of the vibration reduction part are different. Buffering of collision is achieved through elastic deformation, noise attenuation is achieved from the interior of a sound source, the noise reduction efficiency is improved, vibration energy is transmitted through an elastic structure, fatigue damage to parts is avoided, the force transmission performance and the noise reduction requirement can be considered, the vibration transmission frequencies of different positions of the vibration reduction part are different, the fixed frequency is eliminated and stabilized, and mechanical waves are isolated.

A device for treating a lesion, the device comprising: an elongated structure between a first proximal end and a first distal end and defining a cavity extending from the first proximal end, the elongated structure comprising a photoacoustic transducer portion, the cavity being configured for receiving therein an optical waveguide extending along a second longitudinal axis between a second proximal end for receiving light and a second distal end, the optical waveguide comprising a light scattering section configured for scattering at least part of the light in at least one direction other than the second longitudinal axis, the photoacoustic transducer portion being configured for receiving the light scattered by the light scattering section when the optical waveguide is inserted into the cavity and generating mechanical waves in order to treat the lesion.

1. The name of the design product: voiceprint camera support. 2. The use of the design product: used for installation on the back of the robot, used in the substation, through the high-sensitivity microphone array to capture the mechanical wave and electromagnetic noise when the equipment is running, and then use the AI algorithm to convert these sound waves into a spectrum diagram to identify the fault characteristic frequency. 3. The design points of the design product: in the shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1.

The present invention relates to the field of composite material vibration reduction technology, specifically a friction damping vibration reduction material having a double-layer hollow structure, a preparation method, and its application. The preparation method of the material specifically comprises the following steps: S1, preparing solid double-layer silica spheres; S2, preparing double-layer hollow carbon spheres; and S3, preparing a composite material having a double-layer hollow sphere structure. The present invention generates energy dissipation through scattering and diffraction of mechanical waves in the middle hollow layer region. The mechanical waves then cause interface friction energy dissipation between the middle hollow spheres and the outer hollow spheres. The mechanical waves further form multiple scattering between the layers, causing friction energy dissipation at the interface between the outer hollow spheres and the composite material, thereby increasing the interface friction energy dissipation effect of the composite material and improving the vibration reduction performance of the composite material.

The invention provides a gas leakage detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining time domain data collected by at least two sensors, and determining a plurality of abnormal data points in each time domain data; wherein the sensor is a mechanical wave sensor, and the time domain data comprises arrival time of a mechanical wave and an amplitude value corresponding to the arrival time; according to the amplitude value, determining a distance comparison result of the at least two sensors relative to the target position where gas leakage occurs; according to a distance comparison result, determining a target abnormal data point corresponding to each sensor in the plurality of abnormal data points, and determining target arrival time in the target abnormal data point; and determining position information of the target position according to the target arrival time. According to the invention, more reliable and more accurate gas leakage position information and gas leakage time can be obtained.

The utility model discloses a kind of magnetic field generator based on mechanical wave, it is related to electromagnetic induction technical field, the utility model is by being arranged between ultrasonic wave transmitting unit and magnet cantilever beam of strip structure, when ultrasonic wave transmitting unit sends ultrasonic wave, when the frequency of ultrasonic wave and the natural frequency of cantilever beam match consistent, cantilever beam will appear resonance phenomenon with ultrasonic wave, it can be based on the resonance enhancement characteristics of cantilever beam, in the divergent space surrounded by cantilever beam, the amplitude of ultrasonic wave is caused to increase, to drive magnet substantially moves, produce the alternating magnetic field of higher magnetic field intensity, it can be widely applied in ultrasonic wave transducer and many other fields.

This embodiment relates to an intelligent medical ultrasound image processing method and system. The target's output alternating voltage waveform is determined by invoking the cycle length and duty cycle of output PWM data. By inputting the target's output alternating voltage waveform into the steady-state function of a MOS transistor assembly, the induced electric field applied to the piezoelectric material can be determined. The piezoelectric material emits ultrasonic waves, which contact the target object, generating an abnormal wave. This abnormal wave, acting as a mechanical wave in the environment, can superimpose with the output mechanical wave to form an echo. The output mechanical wave and the received superimposed echo are analyzed. The echo data analysis identifies the abnormal wave, which is a characteristic echo. An ultrasound image is generated based on the characteristic echo-to-image function. The steady-state function of the MOS transistor assembly is used to analyze the induced electric field deformation during the startup and steady-state processes of the field-effect transistor, thereby reducing the blurriness of the ultrasound image.

The application discloses a tunnel boring machine space dynamic compensation seismic wave advanced detection method and system, comprising: receiving the reflection echo data of the current space position; compensating the reflection echo data according to the attenuation compensation factor of the current space position, wherein the attenuation compensation factor of the current space position is obtained by a trained neural network, and the prediction process comprises: after curve fitting of the attenuation compensation factor of the reflection echo data of the detected space position, the attenuation compensation factor of the next space position is predicted by using the trained neural network; the compensated reflection echo data is subjected to geological body imaging by using the equal travel time imaging method, and the geological body detection result is obtained according to the amplitude difference on the imaging profile. The space dynamic compensation algorithm of the mechanical wave attenuation is used to adaptively correct the attenuation compensation factor at the next tunneling surface, so as to compensate the received reflection echo data and enhance the identification ability of the reflection echo.

An acoustic output of therapeutic devices used in shock wave therapy can be obtained by measuring the pressure waves radiated from the pressure wave transducer in water. Since the pressure waves used in shock wave therapy generate severe bubbles in water, measuring the surface vibrations of the pressure wave transducer using the laser Doppler method includes significant noise caused by the bubbles. This invention utilizes a filter generated to eliminate the noise in the vibration signals measured by the laser Doppler method, which is caused by the bubbles. The filter is generated by comparing the vibration signals measured in degassed distilled water with the reference signals measured in air at the minimum output setting of the shock wave generation device. Using the filter, it is possible to estimate the vibration signals of the pressure wave transducer generated underwater under the set conditions of the specific shock wave generating device.

The utility model discloses a mechanical wave anti-icing on-line device for a distribution network line, which relates to the anti-icing field of an electric power distribution network system, and comprises a shell and an upper cover, the shell is hinged with one end of the upper cover, the other end of the upper cover is connected through a buckle, and the upper part of the shell is provided with a wire slot for placing a wire; a fixed base plate is arranged at the bottom of the shell, and a driving device, a spring, an impact part and an energy taking module are arranged on the fixed base plate; one end of the spring is connected with the fixed base plate, and the other end of the spring is connected with the impact part; the energy taking module can take energy from the wire and provide a power source for the driving device. The driving device can achieve compression and release of the spring, and the impact part impacts the wire through release of the spring. According to the utility model, icing or heavy ice formation can be avoided, and line icing electric power accidents can be avoided.

The invention belongs to the technical field of transformer iron core vibration noise modeling calculation, and discloses a dry-type transformer vibration noise calculation method, system and device and a medium, and the method comprises the steps: obtaining the normal vibration speed time domain signals of a winding, a clamp and an iron core, and correcting the phase; determining a radiation sound pressure superposition formula taking conformal unit vibration as a model; a vibration-sound coupling frequency domain calculation model based on frequency decomposition is constructed by considering the difference of mechanical wave propagation characteristics under different frequencies; and establishing a mirror image source model considering the sound wave refraction and reflection effect, and superposing the indirect radiation sound pressure and the direct radiation sound pressure to obtain a total sound pressure value. According to the method, the difference of mechanical vibration propagation characteristics under different frequencies and the refraction and reflection effect of sound waves in the environment are introduced, the sound propagation process of the dry-type transformer is modeled, and the improved unit radiation superposition method is applied to vibration-sound coupling frequency domain modeling of the dry-type power transformer. And efficient and accurate calculation of the sound propagation process of the dry-type power transformer is realized.

The present invention relates to a mechanical wave generating apparatus for irradiating mechanical waves such as shock waves, ultrasonic waves, or the like. The mechanical wave generating apparatus comprises: a mechanical wave generating unit for generating mechanical waves; a mechanical wave sensor for sensing the mechanical waves generated by the mechanical wave generating unit; and a monitoring unit for automatically monitoring sound output information of the mechanical wave generating unit by using a signal recorded by the mechanical wave sensor.

A method for localizing a mobile device in relation to a vehicle, comprising the following steps: generating a modulated signal from a carrier wave and a baseband signal, wherein the modulated signal is a mechanical wave, the carrier wave has an average carrier frequency, and the baseband signal has an average baseband frequency that is lower than the average carrier frequency; causing the modulated signal to be transmitted by at least two loudspeakers located on the vehicle, wherein the at least two loudspeakers are spaced apart by less than half the wavelength of the average baseband frequency; causing the modulated signal transmitted by the loudspeakers to be received by one or more microphones located on the mobile device via a plurality of localization paths;Demodulating the modulated signal received at the microphone(s) for each of the multiple localization paths to obtain a multiple of demodulated signals; and processing the multiple of demodulated signals to determine the location of the mobile device in relation to the vehicle.