102 results about "Vibratory signal" patented technology

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 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.

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 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.

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 invention provides a diagnosis method and device for abnormal operation of an elevator. The method comprises the steps that a door lock loop conventional voltage signal, a high-frequency impedance response signal, a landing door mechanical position signal and a door lock contact micro-vibration signal are collected in real time; whether a diagnosis process is started or not is judged according to the consistency of the conventional voltage signal and the door opening and closing instruction and the voltage transient interruption condition; extracting a high-frequency impedance module value Z, an impedance angle theta, a position offset delta d, micro-vibration total energy E and principal component characteristics E1, E2 and E3; and inputting the characteristic parameters into a multi-source information fusion diagnosis model constructed based on a D-S evidence theory, respectively calculating confidence coefficients of artificial short circuit H1 and contact adhesion H2 through basic probability distribution of four evidence bodies and a D-S synthesis rule, and outputting a diagnosis result according to a decision rule. According to the method, accurate distinguishing between manual short circuit and contact adhesion of the elevator door lock loop is achieved, the diagnosis accuracy and the maintenance efficiency are remarkably improved, and potential safety hazards such as door opening and elevator walking are eliminated.

Provided is a method for providing feedback to a user input interface device of a surgical robot system. The method includes: acquiring interaction information indicating whether an interaction occurs between a surgical robot and at least one object, by using at least one sensor positioned on a robot arm of the surgical robot; generating a vibration signal containing amplitude information and frequency information of vibration, based on the interaction information; and generating the vibration through at least one vibrator (actuator) positioned in the user input interface device based on the vibration signal, wherein the user input interface device is spaced apart from the surgical robot.

The application relates to the field of fault detection, and provides a bearing fault detection algorithm and system. An original vibration signal is decomposed through a local mean decomposition algorithm, and an effective PF component is screened out by using a Pearson correlation coefficient, and then signal reconstruction is carried out, irrelevant noise signal interference is removed, feature extraction of a bearing degradation process is realized based on a product form of a harmonic noise ratio and a root mean square value, the sensitivity of the harmonic noise ratio to periodic impact is fully utilized, and the problem that the root mean square value has low sensitivity to initial bearing degradation is avoided; a state space model of different bearing degradation processes is constructed based on a Paris model and a Foreman model, compared with a single model prediction model, the prediction precision of RUL is more effectively improved; regularization of a particle filtering resampling process is realized based on an Euclidean distance, the diversity of particles is effectively improved, the particle depletion phenomenon of basic particle filtering is avoided, and the filtering estimation precision of a nonlinear state is improved.

A device for measuring blood pressure receives a vibration signal from a vibration sensor 111 which is used to measure a target area. The device converts the vibration signal into a digital signal S1

The invention discloses a pressure vessel local defect detection method and system based on sound wave and micro-vibration spectrum fusion, and relates to the field of mechanical vibration or sound wave measurement. The system comprises an intelligent excitation hammer with a built-in force sensor, a composite sound and vibration acquisition unit and a data processing terminal, wherein the composite sound and vibration acquisition unit and the data processing terminal are coaxially designed. The method comprises the steps that a force sensor signal is used as a trigger source, and impact force, air sound waves and shell vibration signals are synchronously collected; calculating a sound-force transfer function to realize input energy normalization and eliminate manual knocking force difference; constructing an adaptive filter by using the sound-vibration coherence function, and performing weighting processing on the acoustic spectrum to filter environmental background noise to generate an enhanced structure sound spectrum; and finally, based on the characteristic frequency offset and the half-power bandwidth damping ratio, constructing a damage index (DI) to carry out quantitative judgment on defects. The method solves the problems that traditional acoustic detection is poor in noise immunity and cannot be quantified, and high signal-to-noise ratio detection on defects such as corrosion and delamination of the pressure vessel in a strong noise environment is achieved.

A vehicle includes at least one processor and a memory configured to store at least one program executed by the at least one processor, and the at least one processor is configured to execute the at least one program to determine a driving mode of the vehicle using vehicle traveling information of a sensor unit, analyze a heart rate variability of an occupant using biometric information about the occupant collected from a biometric information collection unit, and control a vibration signal of a vibrator provided on a seat of the vehicle using the driving mode and the heart rate variability.

A device for determining seat occupancy includes a vibrator which is provided on a seat back of a vehicle seat and outputs a vibration signal, a detection unit that is provided on a seat bottom portion of the vehicle seat, receives the vibration signal transmitted through an object located on the vehicle seat, and generates a counting signal corresponding to the received vibration signal, and a processor that is configured to determine whether a vehicle occupant is seated on the vehicle seat by analyzing the counting signal.

The application relates to an inflation control method and device, a blood pressure measuring device and a readable storage medium. The inflation control method is applied to a blood pressure measuring device, and the method comprises the following steps: acquiring a pulse wave vibration signal of a user in the process of inflating a gas bag of the blood pressure measuring device; determining an inflation cut-off threshold of the gas bag according to the pulse wave vibration signal; and controlling a gas pump to inflate the gas bag according to the inflation cut-off threshold. The method can improve the measurement accuracy of blood pressure parameters.

The present application provides a mass flow meter comprising: at least one flow tube, any one of which is axially symmetric about an imaginary axis of symmetry; the shock excitation unit is arranged on the middle pipe section and used for driving the flow pipe to vibrate; the vibration sensing unit comprises pickup sensors symmetrically arranged on the two sides of the excitation unit, and the pickup sensors are used for acquiring vibration signals of the flow pipe; furthermore, the flow pipe comprises a middle pipe section passing through the imaginary symmetry axis and inner bent pipe sections located at the two ends of the middle pipe section, the middle pipe section is in smooth connection with the inner bent pipe sections, the middle pipe section of the flow pipe is a straight pipe, the inner bent pipe section of the flow pipe is a bent pipe, and the ratio of the length of the middle pipe section to the outer pipe diameter of the middle pipe section is larger than 0 and smaller than or equal to 3. According to the mass flow meter, the sensitivity of the vibration frequency of the mass flow meter affected by pressure is low, and detection is more accurate.

A method for monitoring the state of health of a planetary gearset equipping a rotating machine and adapted to perform power transmission on a shaft line of the rotating machine, the method including acquiring a vibratory signal of the rotating machine by a vibration sensor, the vibratory signal including vibrations generated during power transmission by the planetary gearset; constructing a measurement vector and a transition matrix from a phenomenological vibratory model; estimating a possible fault vibratory signature from the measurement vector, the transition matrix and the vibratory signal acquired, the possible fault vibratory signature taking account of a modulation overlap effect; determining a distance by comparing the possible fault vibratory signature with a reference signature.

Provided is a method for providing feedback to a user input interface device of a surgical robot system. The method includes: acquiring interaction information indicating whether an interaction occurs between a surgical robot and at least one object, by using at least one sensor positioned on a robot arm of the surgical robot; generating a vibration signal containing amplitude information and frequency information of vibration, based on the interaction information; and generating the vibration through at least one vibrator (actuator) positioned in the user input interface device based on the vibration signal, wherein the user input interface device is spaced apart from the surgical robot.