135 results about "Vibratory signal" patented technology

The invention discloses a portable swallowing function screening system based on multiple modes. The portable swallowing function screening system comprises a signal acquisition device, a data processing device and an interactive display device which are connected in sequence, the signal acquisition device is used for acquiring a laryngeal pressure signal, a laryngeal acoustic vibration signal and a swallowing acoustic wave signal of a patient; the data processing device is used for performing feature extraction and feature fusion according to the throat pressure signal, the throat sound vibration signal and the swallowing sound wave signal to obtain a multi-modal fusion feature, and calculating a swallowing disorder risk probability through a preset deep learning model according to the multi-modal fusion feature; the interactive display device is used for judging the swallowing function according to the swallowing disorder risk probability and displaying the screening result of the swallowing function according to the judgment result.

The invention provides a vibration nonlinear signal energy analysis method and system based on variational mode decomposition, and relates to the technical field of signal processing, and the method comprises the following steps: obtaining a monitoring signal of a vibratory roller, determining a corresponding state based on root-mean-square data of the monitoring signal, and determining the state of the monitoring signal; performing segmentation processing on the monitoring signal based on the state corresponding to the monitoring signal to obtain a signal segmentation result; performing variational mode decomposition processing on the signal segmentation result to obtain at least two second mode components; performing Hilbert transformation processing on the second modal component, and combining the instantaneous frequency and the instantaneous amplitude of each modal component obtained through transformation to obtain frequency spectrum information of the monitoring signal; and performing marginal spectrum calculation and integration on the frequency spectrum information to obtain the total energy of the monitoring signal. According to the method, interference signals can be efficiently identified and eliminated in the vibration signals, so that the precision and robustness of compaction quality evaluation are improved.

The present disclosure is of a bone conduction microphone. The bone conduction microphone comprises of a laminated structure and a base structure. The laminated structure is formed by a vibration unit and an acoustic transducer unit. The base structure is configured to load the laminated structure. At least one side of the laminated structure is physically connected to the base structure. The base structure vibrates based on an external vibration signal, the vibration unit deforms in response to the vibration of the base structure, and the acoustic transducer unit generates an electrical signal based on the deformation of the vibration unit. A resonant frequency of the bone conduction microphone is within a range of 2.5 kHz-4.5 KHz.

The invention provides a snore stopping method and device, and the method comprises the steps: obtaining an original vibration signal of the neck of a user, and carrying out the preprocessing of the original vibration signal, and obtaining a target vibration signal; analyzing the breathing state of the user according to the target vibration signal to obtain a breathing state analysis result; judging whether intervention conditions are met or not according to the respiration state analysis result; when the intervention condition is met, the breathing state of the user is intervened according to the breathing state analysis result and a preset self-adaptive intervention rule. The breathing behavior related to the snoring behavior is detected based on the vibration signal, flexible intervention on the breathing state of the user is achieved in combination with the detection result and the self-adaptive intervention rule, sound collection is not needed, interference of snore of other users can be avoided, user privacy is not involved, meanwhile, smooth intervention experience can be provided for the user, and the user experience is improved. Therefore, the method can be widely applied to the technical field of smart home.

Presented herein are techniques for detecting the heartbeat of the recipient of an implantable medical device. The implantable medical device includes sensors for capturing audio signals and vibrations signals from the body of the recipient. A heartbeat detection module filters at least the vibration signals to generate a heartbeat signal representing the heartbeat of the recipient.

The invention provides a vibration acoustics-based low-noise rolling bearing fault diagnosis method and system, and relates to the technical field of rolling bearing fault diagnosis, and the method comprises the steps: obtaining a historical vibration signal and an ultrasonic signal, respectively extracting the features of the two signals, and generating a first historical time-frequency diagram and a second historical time-frequency diagram according to the features, fusing the time-frequency graphs to obtain a fused historical time-frequency graph, and adding category labels; constructing a first convolutional neural network model, and training the model by using the fused historical time-frequency graph added with the category label; obtaining a to-be-processed vibration signal and a to-be-processed ultrasonic signal, similarly extracting features to generate a first to-be-processed time-frequency diagram and a second to-be-processed time-frequency diagram, fusing the first to-be-processed time-frequency diagram and the second to-be-processed time-frequency diagram, inputting the fused to-be-processed time-frequency diagram into the trained first convolutional neural network model, and outputting a first diagnosis result, thereby improving the accuracy and reliability of a rolling bearing fault diagnosis result.

The invention relates to a radar probe aftershock suppression method, device and system and computer equipment. The method comprises the following steps: acquiring a vibration signal of a radar probe; determining a residual vibration signal based on the vibration signal, decomposing the residual vibration signal into a plurality of residual vibrator signals, and determining waveform parameters of the plurality of residual vibrator signals; correspondingly determining a plurality of suppressor sub-signals based on the waveform parameters of the plurality of residual oscillator sub-signals, and superposing the plurality of suppressor sub-signals to obtain a suppression signal; and sending the suppression signal to the radar probe, so that the radar probe suppresses residual vibration based on the suppression signal. On one hand, the residual vibration of the probe can be attenuated to zero in a shorter time, so that the measurement precision and reliability of the radar are effectively improved; and on the other hand, real-time optimization can be carried out for different detection distances and object conditions, the real-time performance, effectiveness and flexibility of the residual vibration suppression effect are kept, and radar detection can be suitable for more application scenes.

The compressor comprises a compressor body, a gas-liquid separator, a first connecting part and a second connecting part, the compressor body comprises a first shell, a compression mechanism is arranged in the first shell, the compression mechanism is configured to compress refrigerants, the gas-liquid separator is configured to provide gaseous refrigerants for a compression cavity of the compression mechanism, and the first connecting part is connected with the second connecting part. The gas-liquid separator comprises a second shell, the second shell is arranged outside the first shell, the first connecting part is configured to be fixedly connected with the first shell and the second shell, the second connecting part comprises a fixed part and two moving parts, the fixed part is fixedly connected with the first shell, the moving parts are arranged on the two opposite sides of the fixed part, and the moving parts are arranged on the two opposite sides of the fixed part. And the two moving parts are configured to move towards the direction close to the second shell according to a vibration signal of the gas-liquid separator so as to surround the second shell or move towards the direction away from the second shell so as to be separated from the second shell, so that the solid frequency deviation of the gas-liquid separator is realized, and the second harmonic generation abnormal sound of the outdoor unit is reduced.

The invention discloses a bone conduction sleep pillow based on audio vibration analysis, which comprises a sleep pillow body, an integrally formed pillow back is arranged in the middle of the rear side of the sleep pillow body, and bone conduction loudspeakers are arranged on both sides of the top of the sleep pillow body; electromagnetic linear vibration assemblies are arranged at the tops of the sleep pillow body and the pillow back, and driving signals of the electromagnetic linear vibration assemblies directly come from audio low-frequency electric signals; the integrated processor comprises a Bluetooth audio processing system and has the functions of real-time frequency division and vibration signal extraction; and the power supply system provides electric energy for the sleep pillow. The two bone conduction loudspeakers are symmetrically distributed about the central axis of the sleep pillow body. By means of the processor, low-frequency components (20-150 Hz) in music signals are directly analyzed to drive the vibrator, vibration and music rhythm synchronization is achieved, and by means of the bone conduction loudspeaker, composite biomechanical stimulation is formed by a bone conduction sound field (50-4000 Hz) and low-frequency vibration.

The invention discloses an active and passive combined type low-frequency enhanced bone conduction vibrator which comprises a shell and a passive elastic piece, the passive elastic piece is embedded in a groove hole formed in the shell, and the bottom of the passive elastic piece is fixedly connected with a passive magnet; when an audio signal passes through the voice coil, current is generated, the active elastic piece is driven to vibrate, the passive magnet and the active elastic piece resonate, the passive vibration system is of a passive structure and is not affected by power, and the resonant frequency Fo of the vibration system can be designed to be lower than that of a main vibration system, so that the low-frequency enhancement effect is achieved, and the HIFI-level mega bass effect is generated; the music experience of consumers is improved; through the active-passive dual-vibration system, the problem of balance of mega bass, power and low, medium and high frequencies of music is effectively solved, the active vibration system outputs medium-high frequency vibration signals, the passive system mainly outputs low-frequency vibration signals, output of broadband bone conduction audio signals is achieved, and the overall tone quality effect is improved.

A stringed musical instrument includes: a musical instrument body configured such that a string is attached thereto; a pickup configured to: i) detect vibration of the string and ii) output a string vibration signal according to the vibration; a detection sensor that is: i) attached to the musical instrument body and ii) configured to output a detection signal according to a force applied to the musical instrument body; and a controller that is attached to the musical instrument body, and is configured to output, based on the detection signal, a control signal configured to control an operation of an effector configured to impart an effect to the string vibration signal.

This invention discloses a bearing remaining life prediction method based on BN-RBM and DA-BiLSTM. First, raw vibration signals from the bearing during operation are collected and preprocessed. Then, a bearing remaining life prediction model is constructed. This model includes a BN-RBM feature extraction network, a DA-BiLSTM feature fusion network, and a linear regression layer. The BN-RBM feature extraction network dynamically updates the prior weight distribution of the Restricted Boltzmann Machine (RBM) using posterior probabilities constructed from Bayesian BN, and extracts features using the trained RBM. The DA-BiLSTM feature fusion network performs bidirectional feature fusion, and the linear regression layer performs linear activation, outputting the predicted bearing remaining life. This invention effectively improves the accuracy of bearing remaining life prediction by providing timely and effective life prediction before failure, reducing the risk of downtime caused by failures.

The present invention is related to a device and a system for voiding dysfunction diagnosis. By detecting a vibration signal generated by the urine from a patient who suffers from urinary dysfunction, the present invention could efficiently and accurately detect and monitor the condition of the patient. The present invention can be introduced to actual clinical applications achieving continuous monitoring urination status for the patient for home care. The present invention could also provide urinary medication efficiency or urinary status of the patient before or after prostate surgery.

The invention provides a bearing health index construction method based on prognostic standard embedding and constraint fusion process, which is characterized by comprising the following steps: step S1, collecting full life cycle vibration signals of a bearing, carrying out data preprocessing, and dividing a model training set and a test set; s2, training set degradation labels are constructed, an early fault point is determined by using a root mean square 3 criterion, a healthy section is 0, and a fault section is 1; s3, extracting features from dimensions such as a time domain, a frequency domain, a sparsity feature, an entropy feature, an envelope spectrum feature and the like, and carrying out nondimensionalization on dimensional features such as a peak value and the like through standardization; s4, constructing a health mixing criterion (HM) as a quantitative index of a prognostic standard for evaluating the degradation description capability of each feature; and S5, constructing an optimization objective function with double regularization by taking the prognosis criterion constructed in the step S4 as a guide item. And S6, monotonicity and tendency constraints of the health indexes are added by using the objective function constructed in the S5, and a total optimization model is obtained. And step S7, using an alternating direction multiplier method (ADMM) in combination with a projection operator on the training set to solve a constrained objective function to obtain a feature weight. And a step. And S8, performing health index construction and performance verification on the test set based on the weight obtained in the S7.

The invention discloses a mobile vibration exciter capable of automatically positioning, and relates to the field of vibration testing. The motor drives the cam shaft to drive the knocking hammer to swing, the torsional spring is connected with the driven wheel shaft and the swing rod, the pre-torsion of the torsional spring is changed by adjusting the angle of the swing rod, accurate knocking and rapid resetting of the knocking hammer are achieved, and secondary knocking is avoided. A single-chip microcomputer controls rotation times and frequency of a motor through programming, and a two-axis servo system or a mechanical arm is combined with a visual identification technology to automatically generate a surface knocking grid of a measured object and drive a vibration exciter to move to a specified point according to a program; the NI data board card and the acceleration sensor collect vibration signals, the Labview test software analyzes a frequency response function, a phase curve and a damping value in real time, automatically extracts a peak value, generates a test report, and supports mistaken touch prevention alarm. The technical problems that an existing vibration exciter cannot automatically adjust the knocking force and cannot achieve full-modal measurement and automatic data processing are solved, and the testing efficiency and precision are remarkably improved.

The utility model relates to the technical field of acoustics, in particular to a bone conduction MEMS microphone structure. Comprising a first PCB, a second PCB and a third PCB, the upper end face of the second PCB is provided with an electro-acoustic conversion chip MEMS and an electric signal processing chip ASIC, the electro-acoustic conversion chip MEMS and the electric signal processing chip ASIC are connected through a gold wire, the lower end face of the second PCB is provided with a vibrating diaphragm assembly, and the first PCB, the second PCB and the third PCB are arranged in a stacked mode. Vibration is transmitted to the microphone through the skeleton, the vibrating diaphragm assembly starts to vibrate, so that the pressure in the cavity is changed, the changed pressure is transmitted to the vibrating diaphragm assembly, the vibrating diaphragm assembly vibrates, a vibration signal is converted into an electric signal through the electro-acoustic conversion chip MEMS, and the electric signal is amplified and processed by the electric signal processing chip ASIC and then output. According to the design, a mature packaging process is utilized, so that the production process of the bone conduction MEMS microphone is simpler, and the production efficiency is improved.

The invention provides a roadbed compaction quality real-time evaluation method and system for multi-domain signal processing, and relates to the technical field of roadbed compaction detection, and the method comprises the steps: obtaining a vibration wheel acceleration signal, a roadbed vibration signal and a noise signal; obtaining a vibration wheel excitation signal according to the vibration wheel acceleration signal and the noise signal; according to the vibration wheel excitation signal and the roadbed vibration signal after noise reduction, obtaining a wave velocity dispersion characteristic and an attenuation coefficient; obtaining an energy-compactness quantitative relation according to the wave velocity dispersion characteristic and the attenuation coefficient; generating a depth feature vector according to a wave velocity dispersion characteristic and an energy-compactness quantitative relation; and outputting a real-time compaction degree evaluation result according to the depth feature vector. According to the invention, three-dimensional space global continuous sensing of a vibration wave field is realized through the hexagonal geophone array; a time-frequency-space three-domain cascade noise reduction framework is combined, so that the purity of a vibration signal is improved; based on an online incremental learning mechanism, adaptive modeling during working condition change is realized.

The invention discloses a cutting power prediction method based on physical guidance dual-thread multi-modal data driving. Firstly, a cutting power physical prediction model is constructed by considering cutter wear, surface resilience height and the like; constructing a physical prediction deviation model, obtaining a cutting power physical prediction deviation, and correcting a cutting power physical prediction value; then, three-way force and three-way vibration signals in the cutting process are collected, time domain and frequency domain features of the two signals are extracted, a cutting signal time-frequency domain feature matrix is formed, and dimensionality reduction is conducted on the cutting signal time-frequency domain feature matrix; inputting the corrected cutting power physical prediction value, the machining parameters and features formed by the dimensionality-reduced cutting signal time-frequency domain feature matrix into a cutting power data driving prediction model, and predicting the cutting power; and finally, training the physical prediction model and the data-driven prediction model, and applying the trained models to real-time online prediction of the cutting power. The method embodies high-precision modeling and prediction of the cutting power.

The invention discloses an active control system and method for vibration of an exhaust pipeline of an air compressor, the system comprises the exhaust pipeline with two rigidly fixed ends, and a signal generator, a power amplifier and a vibration exciter which are sequentially connected along a signal transmission direction, and a vibration excitation head of the vibration exciter acts on a pre-set vibration excitation point on the exhaust pipeline; the laser vibration meter, the data acquisition board and the digital signal processing module are sequentially connected in the signal transmission direction; the digital signal processing module generates a driving control signal for the piezoelectric actuator in real time by adopting a self-adaptive active vibration control strategy based on the collected vibration signal; a laser beam of the laser vibration meter vertically irradiates a measurement point on the surface of the exhaust pipeline, the piezoelectric actuator is arranged at a preset position on the surface of the exhaust pipeline, pipeline vibration is simulated through the vibration exciter, and a control signal is generated in real time by adopting a parallel FxLMS self-adaptive control strategy based on frequency band decomposition of a reference signal; and after power amplification, the piezoelectric actuator adhered to the surface of the pipeline is driven to generate deformation to counteract vibration.

A stringed musical instrument includes a musical instrument body configured such that a string is attached thereto. The musical instrument also includes a pickup configured to detect vibration of the string and output a string vibration signal according to the vibration. The musical instrument also includes a detection sensor that is attached to the musical instrument body and configured to output a detection signal according to a force applied to the musical instrument body. The musical instrument also includes a controller that is attached to the musical instrument body, and is configured to output, based on the detection signal, a control signal configured to control an operation of an effector configured to impart an effect to the string vibration signal.

1. Name of the product in this design: Signal Acquisition Instrument. 2. Purpose of this design: To collect sound and vibration signals. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention relates to an ultrasonic non-contact de-icing device and method for power transmission lines, belonging to the field of power grid safety operation and maintenance. It aims to solve the problems of existing de-icing technologies, such as requiring contact with conductors, easily damaging lines, high energy consumption, and environmental unfriendliness. The device includes an air-coupled ultrasonic wave generator module, a vibration characteristic sensing module, and a control module. The method first collects vibration signals from the transmission conductors through the vibration characteristic sensing module. The control module performs modal analysis and assesses the icing status. When the icing reaches a threshold, the ultrasonic frequency and power are adaptively adjusted. Using air as a medium, non-contact ultrasonic excitation is applied to the conductors and icing, causing the icing to break up and fall off. The de-icing process involves continuous closed-loop feedback and dynamic parameter adjustment until the icing is completely removed. This invention eliminates the need for contact with conductors and coupling agents, avoiding conductor damage. It can be deployed via drones for mobile de-icing or fixed on-line de-icing on towers. It possesses advantages such as intelligence, high efficiency and energy saving, environmental friendliness, and flexible deployment, significantly improving the safety and reliability of transmission line icing control.

The invention discloses a ball screw pair weak fault diagnosis method based on a wireless follow-up vibration sensor, and relates to the technical field of mechanical fault detection. A ball screw pair weak fault test platform is built, various weak fault simulation conditions and normal operation states are checked, one-dimensional vibration signals in different weak fault states are collected in real time through the ball screw pair weak fault test platform, and wavelet noise reduction and scale unified processing are carried out on the one-dimensional vibration signals; converting the processed one-dimensional vibration signal into a two-dimensional image by using GADF coding to form an initial data set; expanding the initial data set, constructing a weak fault classification model, dividing the expanded initial data set into a test set and a training set, and respectively inputting the test set and the training set into the constructed weak fault classification model for training and verification; by adopting the ball screw pair weak fault diagnosis method based on the wireless follow-up rotation vibration sensor, the feature information of industrial equipment can be automatically extracted, and the intelligence and the accuracy of the equipment are improved.

The application discloses a kind of based on user life's intelligent glasses dynamic adaptation auxiliary system, it is related to the field of intelligent wearable device, including: for obtaining the facial mechanical vibration signal sequence that piezoelectric microvibration intelligent sensor is collected, it is input jaw facial mechanical vibration identification model to output the skeletal vibration peak time that characterizes mastication action, under the condition that this time is reached, the original audio signal to be played through audio output unit is obtained, the first frequency band audio component in the first specific frequency band of the signal is extracted and its gain amplitude is reduced according to preset attenuation coefficient, finally the first frequency band audio component after modification is spliced with the remaining audio component outside the first specific frequency band to generate target audio signal and play, the application solves the problem that intelligent glasses produces serious intracranial audio resonance noise when user mastication and other daily facial activities.

This application discloses a control system for a controllable vibration source, belonging to the field of controllable vibration sources. This control system achieves precise control of the controllable vibration source through a host computer and a system-on-a-chip (SoC) integrating a processor and a programmable logic array (PLA). The host computer transmits configuration information to the PCA, where the processor generates a reference scan signal based on the configuration information. The processor then controls the vibrator of the controllable vibration source to perform vibration operations based on the reference scan signal. Furthermore, to ensure that the vibration signal generated by the vibrator meets requirements, a control algorithm can be executed through the PCA to generate control signals. These control signals can then be used to precisely adjust the vibration signal generated by the vibrator, thus achieving precise control of the controllable vibration source.

The nerve stimulation device comprises an implantation part capable of being implanted into a human body, the implantation part comprises a transducer and an electrode, the transducer is configured to receive a vibration signal and convert the vibration signal into an electric signal, and the electrode is configured to output an electric stimulation signal based on the electric signal.

The present invention relates to the technical field of accelerometers, and more specifically, to a self-testing method and device for an accelerometer. The method comprises generating a preset vibration signal through a vibration signal module within a sensor module, the vibration signal module including a drive circuit and a vibrator. The accelerometer collects vibration response data excited by the vibrator, and determines whether the accelerometer is operating normally based on a comparison result of the vibration response data with preset standard parameters. The present invention introduces a vibration signal module to generate a preset vibration signal, and combines the comparison of the accelerometer's dynamic response data with the preset standard parameters to achieve a more realistic and comprehensive self-testing solution, thereby improving the reliability of the accelerometer and user trust.