84 results about "Frequency determination" patented technology

The embodiment of the invention provides a fault identification method of a shield tunneling machine, electronic equipment, a storage medium and a program product. The method comprises the steps that a vibration signal of a bearing of the shield tunneling machine is obtained, iterative calculation is conducted on the vibration signal through a preset mantis shrimp algorithm, a signal decomposition parameter corresponding to the vibration signal is obtained, and the preset mantis shrimp algorithm at least comprises the parameter range of the preset signal decomposition parameter; decomposing the vibration signal according to a modal decomposition number and a filter length carried in the signal decomposition parameter to obtain a target modal component containing fault information; and determining an envelope spectrum corresponding to the target component, and determining the fault type of the shield tunneling machine according to the fault frequency in the envelope spectrum. The method is used for achieving the effect of determining the fault type of the shield tunneling machine.

The invention belongs to the technical field of uncertainty probability characterization analysis, and discloses a thermoplastic composite material leading edge structure design allowable value probability characterization method and system under a small sample condition, and the method comprises the steps: defining a plurality of candidate probability distribution models; fitting each model based on the original sample data and calculating an AIC value and a BIC value; a dynamic weight factor alpha is calculated according to the sample size n, and then a hybrid information criterion HIC value is calculated; generating a plurality of sample sets through Bootstrap self-service sampling, recalculating the HIC value on each sample set, and counting the selected optimal frequency of each model; and determining an optimal probability distribution model according to the frequency, wherein the optimal probability distribution model is used for representing a design allowable value. According to the method, the dynamic weight factor alpha is introduced, AIC and BIC criteria are effectively unified, optimal balance between prediction precision and model complexity is achieved under the condition of small samples, and engineering practicability and robustness are remarkably improved.

The embodiment of the invention discloses a fault detection method and device for an electric drive bearing and a vehicle. The fault detection method comprises the following steps: acquiring a current signal of the electric drive bearing; performing time-frequency processing on the current signal to determine an instantaneous frequency estimation value; performing compression change processing on the instantaneous frequency estimation value to determine a time-frequency graph of the instantaneous frequency estimation value; and performing frequency extraction on the time-frequency diagram, and determining whether the electric drive bearing has a fault or not according to the extracted frequency. According to the technical scheme provided by the embodiment of the invention, detection is carried out based on the current signal of the electric drive bearing, efficient and accurate detection of the fault of the electric drive bearing is realized, meanwhile, the current signal acquisition mode is simple, and the detection cost is reduced.

The invention provides a bearing fault identification method based on singular value decomposition. The method comprises the following steps: acquiring a discrete vibration signal of a bearing; a Hankel matrix of the vibration signals is constructed, the dimension of the matrix is smaller than < and is the length of the vibration signals, and the column number is determined based on the minimum characteristic frequency of typical components of the equipment; performing singular value decomposition on the matrix; selecting an effective row vector of the matrix by taking high periodicity, high cyclic stability and low complexity of the signal as targets, determining an effective singular value based on the effective row vector, and performing signal reconstruction based on the effective singular value; and carrying out spectrum analysis on the reconstructed signal and carrying out bearing fault identification according to a relation between a prominent frequency component in a spectrum and a bearing fault characteristic frequency. According to the bearing fault identification method, the features of the signals can be enhanced while noise reduction is carried out on the signals, and accurate judgment of bearing faults is facilitated.

This application discloses an AI testing method, apparatus, device, storage medium, and program product, relating to the field of AI testing technology. The method includes: constructing a multimodal feature map based on multiple dimensional features of each element on a test page; the dimensions include the Document Object Model (DOM) structure dimension, visual dimension, and interaction trajectory dimension; the multimodal feature map is used to represent the mapping relationship between elements and features, and the feature weight corresponding to each dimension of the feature map is determined based on the DOM update frequency of the test page; determining the target localization strategy corresponding to each element based on the feature weights in the multimodal feature map; determining the localization result of each element according to the target localization strategy; and executing AI testing based on the localization result and test instructions generated by the AI ​​model. The solution of this application, through multimodal element localization, can improve localization robustness and adapt to dynamic test pages.

The application relates to the technical field of coal quality sorting, and discloses a precision sorting and regulation method and system suitable for complex coal quality, which comprises the following steps: determining the component parameters of each component based on a component analysis model and coal quality parameters, comparing all the component parameters in a historical regulation database, determining the fan rotating speed of a blower based on the similarity of the component parameters when a calling strategy is determined, constructing a wind speed mapping model based on a sample data set and the historical regulation database when a compensation strategy is determined, determining whether the stability of the fan rotating speed is qualified based on wind speed fluctuation frequency, determining the fan rotating speed correlation result based on the valve opening and a correlation rule algorithm, determining the rotating speed regulation coefficient of the fan rotating speed according to the fan rotating speed correlation result, and adjusting the fan rotating speed according to the rotating speed regulation coefficient; and the reliability of sorting is ensured by determining the component parameters and judging the stability of the fan rotating speed.

The invention belongs to the technical field of medical treatment and automatic control, and particularly relates to an ultrasonic microneedle element sound field measurement method and equipment, in the method, a space coordinate system is established based on a hydrophone coordinate, the position and posture of a hydrophone are accurately controlled in combination with a displacement mechanism, the problem of interference of a microneedle piece on ultrasonic propagation is directly solved, and the accuracy of sound field data is ensured. The upper computer integrates the functions of frequency determination, distance calibration, coordinate system generation and path planning, drives the displacement mechanism to automatically traverse measurement points according to a preset sampling interval, thoroughly replaces manual point-by-point operation, and improves the efficiency. A complete closed loop is formed from resonance frequency calibration to sound field distribution generation, personal errors are eliminated, and reliable data support is provided for a targeted drug delivery technology.

The application relates to a remote control signal copying method, a remote control copier and a storage medium, and the method comprises the following steps: receiving a remote control signal of a remote control device to be copied; switching different local oscillator clock frequency values, for each local oscillator clock frequency value, performing mixing processing on the received remote control signal and each local oscillator clock frequency value to obtain an intermediate frequency signal; when the intermediate frequency signal is a continuous and stable square wave signal, obtaining a corresponding target local oscillator clock frequency value and multiple frequency values of the intermediate frequency signal; determining a working mode of the remote control signal according to the multiple frequency values of the intermediate frequency signal; processing the multiple frequency values of the intermediate frequency signal and the target local oscillator clock frequency value by using a frequency determination rule in the working mode to determine a transmission frequency value of the remote control signal; and based on a decoding rule corresponding to the working mode, analyzing the remote control signal by using the transmission frequency value to copy a remote control instruction corresponding to the remote control signal. The method can still realize remote control function under the condition of a long distance.

The embodiment of the invention provides a frequency determination method and device, electronic equipment and a storage medium. According to the scheme, the method comprises the following steps: obtaining a first corresponding relation between coupler frequencies and leakage rates according to operation of at least one resonance type double-quantum logic gate on a first quantum bit and a second quantum bit in a target system under different coupler frequencies; based on the first corresponding relation, the coupler frequency corresponding to the lowest leakage rate is selected as the target frequency, and the target frequency is the frequency of a control signal applied to the adjustable coupler when the first quantum bit and the second quantum bit execute the resonance type double-quantum logic gate operation. Through the technical scheme provided by the embodiment of the invention, the frequency of the control signal applied to the adjustable coupler during the execution period of the resonance type double-quantum logic gate can be determined, so that an observer error is effectively inhibited, and the fidelity of quantum calculation is improved.

The embodiment of the invention provides a mixed oscillation source positioning method and device, computer equipment and a storage medium. The method comprises the following steps: constructing a data set reflecting high-dimensional linear space dynamics of a target power grid system; obtaining an equivalent linear model according to the data set, performing modal analysis on the equivalent linear model, and determining a potential oscillation modal; obtaining strong correlation units according to the participation factors of the units in the potential oscillation mode, and determining the dissipated energy flow and the forward dissipated energy flow integral of the strong correlation units according to the active power, the reactive power, the voltage and the frequency of the strong correlation units; and judging whether the dissipated energy flow of the current unit is a positive value and the positive dissipated energy flow integral exceeds a threshold value, if so, identifying the current unit as an oscillation source, and if not, identifying the current unit as a non-oscillation source, thereby quickly and accurately positioning a single or multiple mixed oscillation source which causes oscillation of the power grid system. And the stability and safety of a power grid system are improved.

The invention belongs to the field of electric power, and discloses a method for evaluating the influence of converter grid-connected system parameters on small interference stability, which comprises the following steps: constructing a grid-following type single-machine infinite system impedance model which comprises a converter side and an alternating current grid side; according to the converter side admittance matrix and the AC network side admittance matrix of the model, calculating a return difference matrix of the following network type single-machine infinite bus system, and determining a dominant characteristic value of the system; drawing a Pode diagram corresponding to the return difference matrix, and determining the frequency corresponding to the lowest point of an amplitude curve in the Pode diagram as the frequency corresponding to the system dominant characteristic value; and in combination with a sensitivity analysis theory, evaluating the influence of parameter change on the small-interference stability of the system according to whether a frequency increment real part is greater than 0.

The application discloses a transducer driving mode and working frequency determination method and device, a storage medium and electronic equipment. The method comprises the following steps: obtaining the lumped equivalent circuit parameters of the transducer, constructing a lumped equivalent circuit model of the transducer and determining the driving frequency bandwidth; classifying the driving modes of the transducer and classifying different loads under various driving modes; or classifying the loads of the transducer and classifying different driving modes under various load types; analyzing the frequency response of the transducer with different loads under various driving modes; or analyzing the frequency response of the transducer with different driving modes under various load types; and matching the target driving mode suitable for the transducer and the target working frequency under the target driving mode according to the actual working condition and the frequency response. In the embodiment, the target driving mode and the target working frequency of the transducer are accurate and have strong interpretability.

The embodiment of the invention discloses a knowledge base updating method and device, computer equipment and a storage medium, and belongs to the technical field of Internet. The method comprises the following steps: acquiring a query statement set of the question-answering system, wherein the query statement set comprises at least two received query statements; for each query statement, obtaining statement characteristics and occurrence frequency of the query statement; clustering the at least two query statements on the basis of the statement features and the occurrence frequencies of the at least two query statements to obtain a clustering result of at least one cluster, the clustering result of the cluster comprising query statements in the cluster and frequency information of the cluster, and the frequency information being determined on the basis of the occurrence frequencies of the query statements in the cluster; and updating the clustering result of the at least one cluster to the knowledge base. According to the method and the device, the time cost and the labor cost are saved, the knowledge corpus can be stored in the knowledge base by taking the cluster as the unit, the orderliness is improved, and the query efficiency of the question and answer system in the knowledge base is improved.

An apparatus and method for determining a frequency reference offset between a transmitter and a receiver. Time sample vectors are created with each having a time sample sequence of a received chirp period within a sequence of chirp periods. A product vector for each pair of time sample vectors is calculated for each pair of time sample vectors in the time sample vectors. Each product vector of each pair of time sample vectors is summed into an accumulated value vector. A Discrete Fourier Transform of the accumulated value vector is calculated. A detected frequency is determined based on a frequency corresponding to an element of the Discrete Fourier Transform that has an amplitude higher than other elements of the Discrete Fourier Transform. A frequency reference offset between a transmitter of the received chirp period and a receiver of the received chirp period is determined based on the detected frequency.

This invention relates to the field of intelligent security identification technology, and discloses an intelligent AI-based security identification method and system. The method collects historical data on abnormal behavior to establish a standard behavior model library; after collecting real-time monitoring datasets, it determines the security scanning interval based on the data scale; within the scanning interval, it acquires all monitoring signals and calculates the average feature value as a security judgment benchmark; based on the benchmark and the standard model library, it evaluates the monitoring signals, identifies and labels suspicious abnormal behaviors. When suspicious behavior exists, its parameter attributes and behavioral pattern features are extracted to determine whether it is a real threat behavior, and then a basic risk value is determined based on the frequency of threat occurrence. Subsequently, the behavioral sequences, operation types, and interaction trajectories of real threats are analyzed, and the trajectories are used as feature vectors for classification analysis using a classification algorithm to determine whether there are associated attack patterns; if so, a correction factor is calculated to update the basic risk value, and the next security scanning interval is reconfigured.

The present application relates to the technical field of data sampling frequency determination, and provides a data sampling frequency lower limit determination method and system for grid-related performance supervision of a wind farm, comprising: obtaining a data segment of actual power generation set value and actual power generation related to grid-related performance of the wind farm; estimating noise variance of the actual power generation based on the data segment of the actual power generation; establishing a dynamic model of the wind farm based on the data segment of the actual power generation set value and the actual power generation as input; based on the noise variance of the actual power generation and the dynamic model of the wind farm, performing several simulations, each simulation obtaining performance index estimation values under multiple different sampling frequencies; at each sampling frequency, obtaining a coefficient of variation based on the performance index estimation values obtained in all simulations; selecting a sampling frequency corresponding to a coefficient of variation meeting a condition as a sampling frequency lower limit. The present application overcomes the problem of excessively high data sampling frequency determined by existing methods and lays a foundation for technical supervision data transmission under limited bandwidth.

The invention discloses a frequency tracking method, system and device of an ultrasonic therapeutic apparatus and a medium, and belongs to the technical field of ultrasonic therapeutic apparatus control. The method comprises the following steps: monitoring a phase difference between a current signal and a voltage signal of the transducer; when the phase difference deviates from a preset threshold value, executing the following operation to determine the driving frequency of the transducer; determining an optimal solution through a particle swarm optimization algorithm; based on the optimal solution, determining a driving increment of the driving frequency through a proportional integral differential algorithm; and determining the driving frequency of the transducer based on the driving increment and the current driving frequency. And the value of each parameter in the PID algorithm is determined through the particle swarm optimization algorithm, so that the problem that the resonant frequency is difficult to lock quickly due to the fixed parameter value in the existing PID algorithm is solved.

The invention provides a data generation method and device based on an intelligent model, equipment and a product. The method comprises the steps of determining multiple pieces of attribute information required to be contained in to-be-generated data, and obtaining an actual reference sample corresponding to the to-be-generated data; constructing cue words according to the attribute information and the actual reference sample; inputting the cue word into a preset data generation intelligent model, so that the data generation intelligent model generates target data based on the cue word; wherein the attribute distribution feature corresponding to the target data is matched with the attribute distribution feature corresponding to the actual reference sample, and the attribute distribution feature is determined by the relative importance score of each piece of attribute information in the actual reference sample; the relative importance score corresponding to each piece of attribute information is determined according to the occurrence frequency of the attribute information in the actual reference sample.

To determine the presence or absence of induction of brain waves with relatively high accuracy when a determination result of the presence or absence of induction of brain waves by stimulation is used for selection of a selection target.SOLUTION: A frequency determination apparatus includes induction determination means for determining whether or not a brain wave is induced by a stimulus in a brain wave measured in a state in which the stimulus of a designated frequency is output, frequency range search means for searching for a maximum value and a minimum value of a frequency at which the induction occurs, and frequency determination means for determining a plurality of frequencies as frequencies of the stimulus within a range between the maximum value and the minimum value.SELECTED DRAWING: Figure 1

The invention relates to the technical field of computers, in particular to a production scheduling optimization method and system based on a dynamic algorithm engine, and the system comprises a data processing module which comprises a preprocessing unit used for preprocessing collected order basic data to output order features; the scheduling solving module comprises a function construction unit used for constructing a scheduling optimization objective function; the disturbance recalculation module comprises an evaluation unit used for determining an influence domain of scheduling execution abnormity according to real-time industrial production resource constraints; the schedule judgment module is used for determining whether the stability of the production schedule meets the requirement or not according to the fluctuation characterization value; the delay adjusting module is used for determining a transmission delay coefficient between scheduling processes according to the updating frequency of the recalculation scheduling scheme; and the penalty factor adjusting module is used for determining the dynamic load penalty factor of the high-load equipment in the scheduling optimization objective function solution according to the conflict rate of the production resources in the production scheduling plan. According to the invention, the stability of production scheduling is improved.

This application provides an adaptive baud rate data receiving method, transmitting method, apparatus, device, and medium. The adaptive baud rate data receiving method is applied at a receiving end, and the method includes: receiving an encoded data frame transmitted by a transmitting end; encoding the first byte of the encoded data frame, wherein the first byte has data content; sampling the encoded data frame using a sampling clock after detecting a communication start signal of the encoded data frame; decoding the sampled encoded data frame according to encoding / decoding rules to obtain the decoded first byte; determining the baud rate of the first byte based on the decoded first byte and the frequency of the sampling clock, as the baud rate of the decoded data frame; and receiving the remaining bytes of the decoded data frame on the bus according to the baud rate. Thus, it is neither necessary nor necessary to specially set any classical values.

The application discloses a non-harmonic blade dynamic stress field reconstruction method, system, medium and equipment, and relates to the technical field of blade vibration monitoring. The application firstly ensures high fidelity of a numerical model by minimizing the deviation of measured vibration displacement and finite element analysis vibration displacement, so as to obtain a multi-order modal dynamic stress field formed by multi-order modal dynamic stresses on each grid node of a non-harmonic blade model through finite element analysis, and determine a mistuning coefficient of vibration frequency of the non-harmonic blade as a non-harmonic quantity according to a reference frequency under a designed blade motion state, and then depth learning is performed on a complex non-linear mapping relationship of full-field multi-order modal dynamic stresses from a local tip position to the full field; when applied, the multi-order modal dynamic stress field of the target non-harmonic blade can be obtained by coupling the multi-order modal, the distortion problem of the linear method in processing the complex vibration mode of the non-harmonic blade is effectively overcome, and the precise prediction of the multi-modal coupling dynamic stress field of the target non-harmonic blade in actual operation is realized.

The invention discloses a quantum bit frequency and quantum chip frequency distribution measurement method and device, and belongs to the technical field of quantum chip measurement. According to the quantum bit frequency measurement method, a target coefficient capable of representing the corresponding relation among the frequency, the resistance and the self-capacitance of a quantum bit is determined by obtaining a self-capacitance parameter, a frequency parameter and a resistance parameter corresponding to a sample quantum bit, and the self-capacitance of the quantum bit is measured based on the determined target coefficient. The self-capacitance parameter and the resistance parameter of the to-be-measured sub-bit at the room temperature are sequentially obtained, and the frequency of the to-be-measured sub-bit can be directly determined. In the measurement method, based on the determined target coefficient, the frequency of the to-be-measured sub-bit can be determined only by acquiring the resistance parameter and the self-capacitance parameter of the to-be-measured sub-bit at normal temperature, and the efficiency of measuring the frequency of the quantum bit is improved.

The application provides a peak and valley determination method, device and electronic equipment of a signal, and belongs to the technical field of digital signals. The method comprises the following steps: acquiring a signal frequency of a to-be-tested signal; determining a plurality of sampling points in a single period of the to-be-tested signal based on the signal frequency and a preset sampling frequency; fitting a polynomial function based on the plurality of sampling points, and determining a first candidate peak and a first candidate valley based on the polynomial function; performing difference solving on discrete sampling points based on the plurality of sampling points, and determining a second candidate peak and a second candidate valley; determining the maximum value of the first candidate peak and the second candidate peak as a target peak of the to-be-tested signal, and determining the maximum value of the first candidate valley and the second candidate valley as a target valley of the to-be-tested signal. The application combines the peak and valley solving method of a continuous waveform and the peak and valley solving method of discrete sampling points, and can accurately solve the peak and valley of a limited sequence period signal in a complex noise environment.

This application provides a data processing method, apparatus, electronic device, and medium, relating to the field of data engineering technology. The method includes: determining a target field based on a first operation frequency and a second operation frequency of each field in a Data Definition Language (DDL) operation flow; calculating the path weights of a set of related paths between the target field and the first field to obtain a path weight set; calculating a comprehensive score for the first field based on the semantic similarity between the target field and the first field and the path weight set; and determining a replacement field based on the comprehensive score. The replacement field is used to replace the target field, and the replacement field includes the first field, a second field, and a third field, wherein the second field is a mixed value generated based on the first field, and the third field is a default value. This improves the flexibility and reliability of data processing and adapts to the ETL data flow requirements in scenarios with high-frequency field changes.

The embodiment of the invention discloses an actuation state detection method for a power system execution mechanism, and the method comprises the steps: building a motion equation of the power system execution mechanism in a high-temperature and high-speed fluid environment, and building a reflection echo model in combination with a built high-frequency signal propagation loss estimation model in a free space and a metal pipeline; transmitting a high-frequency signal and receiving multiple beams of actual reflection echo signals; determining the center frequency of each beam of actual reflection echo signal through a frequency determination function of an established joint precision distance measurement algorithm; based on the center frequency, calculating through a reflection echo model to obtain a theoretical reflection echo signal; a true reflection echo signal is determined through an established true and false echo detection and separation algorithm; the distance between the detection system and the execution mechanism is determined based on the real reflection echo signal through the distance measurement function of a combined precise distance measurement algorithm; and determining the dynamic characteristics of the actuating mechanism through the motion equation, and determining the actuating state of the actuating mechanism based on the distance and the dynamic characteristics.

The invention relates to the technical field of electronics, in particular to a motor resonant frequency determination method, a motor driving method and application. According to the motor resonant frequency determination method, the motor driving method and the application provided by the embodiment of the invention, the first resistance and the first resonant frequency at the first current temperature are accurately obtained in the initialization stage of starting the electronic equipment; respectively acquiring the standard resistance and the standard resonant frequency of the motor at the preset standard temperature through the first resistance and the first resonant frequency; in the working process of the motor, acquiring a second resistance of the motor at a second current temperature, and acquiring a second resonant frequency of the motor at the second current temperature according to the standard resistance, the standard resonant frequency and the second resistance; through the mode, calculation of the second resonant frequency of the motor at the second current temperature in the working process is realized through the algorithm, direct measurement of the resonant frequency is not needed, and improvement of the acquisition efficiency and accuracy of the resonant frequency of the motor is facilitated.

This will reduce the effort required to generate synthetic netlists. [Solution] The logic synthesis apparatus includes: an extraction means for extracting from a netlist portions that are logically equivalent to asset circuit formulas registered in a database as an extracted netlist; a circuit structure determination means for determining the structure of the circuit to be used in the extracted netlist from the database based on the frequency of the extracted netlist and the frequency of the logically equivalent asset circuit formulas registered in the database; a timing margin calculation means for calculating the timing margin based on the determined circuit structure; a cell characteristic determination means for determining the characteristics of the cells to be used in the extracted netlist from the database based on the timing margin calculated by the timing margin calculation means; and a logic synthesis means for converting the netlist into a synthesized netlist having physical characteristics using the circuit structure determined by the circuit structure determination means and the cell characteristics determined by the cell characteristic determination means.

The invention provides a sensing threshold determination method and device and electronic equipment. In the application, under the condition that initialization is determined to be executed based on a sensing service initialization request message from a sensing application end, according to a data sampling frequency Fsample of each target receiver connected with a sensing server and a target data reporting frequency Freport, a time window used for determining a sensing threshold value and corresponding to each target receiver is determined; in the initialization process of a sensing server, a time window used for determining a sensing threshold value is adaptively determined for each target receiver, and the defect caused by the fact that each target receiver is fixed under the same time window to determine the sensing threshold value is avoided.