172 results about "Vibratory signal" patented technology

The invention belongs to the technical field of precision measurement, and discloses a heating, excitation and frequency cracking measurement method for a quartz hemispherical harmonic oscillator, which adopts an infrared light source to uniformly heat the quartz hemispherical harmonic oscillator, and performs excitation through a piezoelectric excitation sheet based on a'four-antinode 'vibration mode of the quartz hemispherical harmonic oscillator. The method comprises the following steps: reading a vibration signal through a laser vibration meter, analyzing the direction of a frequency splitting decomposition and stiffness non-uniform axis of the quartz hemispherical harmonic oscillator, performing etching de-weighting through an ion beam, and trimming the stiffness non-uniformity of the quartz hemispherical harmonic oscillator. According to the method, the problem that the circumferential rigidity of the quartz hemispherical resonator is not uniform is solved, and compared with the conventional harmonic oscillator frequency cracking trimming method, the harmonic oscillator frequency cracking is leveled from the rigidity trimming angle, so that the temperature change interference resistance characteristic of the frequency cracking after trimming of the quartz hemispherical resonator gyroscope is improved.

Disclosed are a device and method for detecting and identifying shallow-stratum foreign objects based on distributed acoustic sensing. The device includes a vibrating sensitivity-enhanced fiber optic cable, a distributed acoustic sensing demodulator, a vibrator system, a vibration data processing unit, a velocity structure inversion unit and an AI-aided locating and identification unit. The distributed acoustic sensing demodulator transmits vibration signals to the vibration data processing unit for preprocessing to obtain waveform signals; the velocity structure inversion unit performs inversion to obtain the shallow-stratum underground velocity structure; positions of shallow-stratum foreign objects are identified through the underground velocity structure and abnormal waveforms; and the types of shallow-stratum foreign objects are identified. A distributed acoustic sensing method for fiber optic cables is used to obtain vibration signals, velocity imaging is performed on a shallow-stratum velocity structure, and AI is utilized to achieve locating and type identification of shallow-stratum underground foreign objects.

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 invention relates to the technical field of detection instruments, and provides an active vibration reduction sample table which comprises a sample table body used for bearing a test sample; the at least one Z-axis piezoelectric actuator is arranged at the bottom of the sample table; the at least one X-axis piezoelectric actuator is arranged at the top of the Z-axis piezoelectric actuator; the at least one Y-axis piezoelectric actuator is arranged at the bottom of the Z-axis piezoelectric actuator; and the vibration meter is arranged on the sample table and is used for measuring a vibration signal of the sample table and inputting the vibration signal to the Z-axis piezoelectric actuator, the Y-axis piezoelectric actuator and the X-axis piezoelectric actuator, so that the Z-axis piezoelectric actuator, the Y-axis piezoelectric actuator and the X-axis piezoelectric actuator carry out vibration correction on vibration received by the sample table according to the vibration signal. The vibration influence of the external environment on the sample can be actively reduced. Compared with an existing vibration isolation structure of a measuring instrument which can only realize micron-scale vibration at the sample stage, the vibration at the sample stage can be improved to nano-scale by using the scheme.

The invention relates to the technical field of cables, and provides a sensing optical cable which comprises a mandrel, a sensing layer and an outer protective layer which are sequentially arranged from inside to outside. The mandrel comprises a tensile element and a transduction layer which are sequentially arranged from inside to outside, the mandrel is divided into a plurality of first mandrels and second mandrels which are alternately connected, a sensitization layer is arranged outside the transduction layer in the first mandrel, the sensing layer comprises a first weaving section and a second weaving section, the first weaving section is arranged on the outer surface of the sensitization layer in the first mandrel, and the second weaving section is arranged on the outer surface of the second weaving section. The second weaving section is arranged on the outer surface of the transduction layer in the second mandrel, and the length of the first weaving section is different from that of the second weaving section. According to the sensing optical cable provided by the invention, by designing a structure in which the first mandrels comprising the sensitization layers and the second mandrels without the sensitization layers are alternately connected and respectively arranging the sensing layers on the outer surfaces of the two mandrels in a weaving form, the optical cable can capture and amplify sound wave vibration signals. The sensibilization layer enhances the response capability of the optical cable to sound wave signals, and improves the overall sensing sensitivity.

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 relates to the technical field of structural vibration dynamics experiments, in particular to an LDV self-following modal experiment device of a rotating structure and an experiment method.The experiment device comprises a static structure, the rotating structure and a driving structure, and the static structure comprises a laser vibration meter and a slip ring stator; the rotating structure comprises a slip ring rotor, a light transmission shaft, a shaft system, a second reflective mirror, a piezoelectric ceramic piece and a test object, and the light transmission shaft is further provided with a third reflective mirror; the piezoelectric ceramic piece is mounted on a test object; one or more groups of piezoelectric ceramic pieces are used for applying excitation to a test object, and the rest groups of piezoelectric ceramic pieces and the laser vibration meter are used for collecting vibration signals of the test object; the first reflector, the second reflector and the third reflector are used for controlling laser emitted by the laser vibration meter together so that the laser can be focused on a test object, and circumferential adjustment of the focusing position of the laser on the test object can be achieved through the optical axis and the shaft system. According to the LDV self-following modal experimental device and experimental method of the rotating structure, the problem that modal experiments are difficult to carry out on an existing rotating mechanical structure under the rotating working condition is solved.

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 discloses a vibration response calibration device for an intelligent cable. The device comprises a signal generator, a vibration exciter, a six-axis Bluetooth sensor, a demodulator and an upper computer, the signal generator is used for generating a vibration signal according to a preset vibration frequency and transmitting the vibration signal to the vibration exciter; the vibration exciter is used for applying vibration to the intelligent cable according to the vibration signal and the current vibration amplitude; the six-axis Bluetooth sensor is used for measuring a first acceleration and an angular velocity of the intelligent cable and transmitting the angular velocity to the upper computer; the demodulator is used for measuring the second acceleration of each measurement point when the first acceleration is the same as the preset acceleration, and transmitting the second acceleration to the upper computer; the upper computer is used for carrying out vibration response calibration on the intelligent cable according to the angular velocity and the second acceleration; the vibration exciter is further used for adjusting the vibration amplitude and applying vibration again when the first acceleration is not equal to the preset acceleration. According to the invention, the calibration of the vibration response of the intelligent cable can be realized.

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.

An apparatus includes a vibration member, a vibration apparatus disposed on a rear surface of the vibration member to vibrate the vibration member, a supporting member on a rear surface of the vibration apparatus, the supporting member including a first surface facing the vibration member and a second surface opposite to the first surface, a vibration signal cable disposed on the first surface or the second surface of the supporting member, and a conductive connection member electrically connecting the vibration apparatus to the vibration signal cable.

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.