153 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 present invention provides a method, device, and apparatus for determining the instantaneous angular velocity of a rotating machine, wherein the method includes: obtaining a time-frequency diagram corresponding to an acceleration signal of the rotating machine within a preset time period; determining multiple first continuous ridge structures within the first sub-time period based on the local peak value of the spectrum corresponding to any moment in the time-frequency diagram; updating the multiple first continuous ridge structures based on a preset global optimization algorithm and the second ridge point of the time-frequency diagram in the second sub-time period to determine multiple second continuous ridge structures of the time-frequency diagram within the preset time period; determining a target instantaneous frequency within the preset time period based on a preset frequency domain sparsity evaluation index and the multiple second continuous ridge structures, and determining a target instantaneous angular velocity based on the target instantaneous frequency. The solution of the present invention can improve the accuracy of extracting the instantaneous angular velocity.

The invention discloses a capacitor loss angle determination method and device, a storage medium and computer equipment, and the method comprises the steps: carrying out the coarse frequency scanning of a measurement loop based on a logarithmic frequency step length, and determining a resonance region based on the change rate of the impedance amplitude of the measurement loop; performing fine frequency scanning on the measurement loop based on the linear frequency step length in the resonance area; determining a resonance peak based on the impedance amplitude of a frequency point in the resonance area; determining resonance attribute information of the resonance peak; selecting a reference frequency point in a preset area around the resonance peak based on the resonance attribute information; determining an initial resonance point frequency of the measurement loop, and compensating the initial resonance point frequency to obtain a resonance point frequency; determining a resonance type and a corresponding loss angle determination mode, determining initial circuit parameters, and performing error compensation on the initial circuit parameters in real time to obtain circuit parameters; and based on the circuit parameters and the resonance point frequency, determining the capacitor loss angle by using a loss angle determination mode.

The invention discloses a data processing method and device, electronic equipment and a readable storage medium, and relates to the technical field of data read-write.The method comprises the steps that after target data is determined, the data type and the operation frequency of the target data are obtained; determining a target data block according to the data type and the operation frequency, and distributing the target data block to a corresponding performance area in the target hard disk in advance according to the access frequency of the target data block; the data processing operation is executed based on the target data and the target data block, so that the problem that a write amplification effect exists in the data processing process can be solved, the data processing is executed based on the performance advantages of the target data block, the frequently written data is placed in an area with a smaller write amplification effect, and the data processing efficiency is improved. Therefore, the technical effects of reducing the write amplification effect based on flexible placement of the data, improving the data processing efficiency and prolonging the service life of the SSD are achieved.

The invention discloses a generation method and device for a mixed precision quantization operator, and relates to the field of deep learning, and the method comprises the steps: converting a quantization program inputted by a user into an initial Qtile calculation graph based on Qtile tensor representation; performing equivalent transformation on the initial Qtile calculation graph to generate a plurality of candidate Qtile calculation graphs which are equivalent to the initial Qtile calculation graph; according to the reuse frequency of operator input data in each candidate Qtile calculation graph, determining an optimal data layout position and an optimal data loading strategy of each candidate Qtile calculation graph; on the basis of the optimal data layout, the optimal data loading strategy and a code generation technology based on a template, codes of all the candidate Qtile computational diagrams are generated, and the codes of the candidate Qtile computational diagrams are achieved through codes of mixed precision quantization operators. According to the invention, an optimized high-performance mixing precision quantization operator can be output.

The invention provides a tunnel surrounding rock inherent frequency determination method and system based on a numerical sample, and relates to the technical field of tunnel engineering, and the method comprises the steps: obtaining geological survey data of target deep-buried jointed rock tunnel engineering; performing parameter model establishment and parameter setting by combining a three-dimensional numerical inversion method according to the geological survey data to obtain parameterized model configuration; performing numerical model construction processing according to the parameterized model configuration, and generating an inherent frequency numerical sample data set; sensitivity analysis is carried out according to the inherent frequency numerical value sample data set, and a main control factor screening result is obtained; establishing a prediction model according to a main control factor screening result to obtain an inherent frequency prediction model; and inputting real-time main control factor data obtained by field monitoring into the inherent frequency prediction model for prediction processing to obtain inherent frequency time-frequency characteristics and main frequency information of the target deeply-buried jointed rock tunnel. The construction safety and the engineering decision-making efficiency are remarkably improved.

The invention relates to a vibration suppression method of a high-precision hardware part continuous punching machine in the field of intelligent manufacturing equipment industry in high-end equipment manufacturing industry, which comprises the following steps of: identifying a main vibration frequency and a secondary vibration frequency by adopting a peak detection algorithm according to vibration spectrum distribution, and determining a key frequency point set of multi-band vibration; through a pre-established vibration mode and damping parameter mapping model, for the dominant frequency vibration feature vector, a table look-up method is adopted to obtain a corresponding initial damping parameter combination, and a preliminary damping adjustment scheme is determined; the optimized damping parameter combination is adopted, the rigidity and the damping coefficient of a damping device are dynamically adjusted through a servo control system, multi-frequency-band vibration is restrained, and stable stamping process data are obtained; geometric dimension data of the suspender and the check claw are collected in real time through a laser measurement system, the dimensional deviation trend is analyzed through a statistical process control algorithm, and the stability of the stamping process is judged.

The present application relates to the technical field of data processing, and more particularly to an educational data processing method based on coexistence of standard reference and norm reference, comprising: obtaining real-time access times, accuracy and interaction frequency; determining a first temporary target; determining a second temporary target; determining a processing target; determining a target evaluation index and an analysis evaluation index; and determining an evaluation grade after adjusting the reference threshold according to the index deviation. The present application can accurately capture the performance of students in different learning scenarios, real-time evaluate their learning state and dynamically adjust by fusing the dual evaluation mechanism of standard reference and norm reference. Through the gradual adjustment of the standard reference threshold and the deep application of the clustering analysis model, the limitations of single evaluation method can be eliminated, the evaluation result is more comprehensive, accurate and personalized, and the problem of low recognition accuracy of the processing device caused by poor data objectivity due to single evaluation standard is effectively solved.

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 application provides a tunnel surrounding rock inherent frequency determination method and system based on numerical sample, relates to the technical field of tunnel engineering, and comprises the following steps: obtaining geological survey data of a target deep buried joint rock mass tunnel engineering; according to the geological survey data, combining a three-dimensional numerical inversion method to establish a parameter model and set parameters, obtaining a parameterized model configuration; according to the parameterized model configuration, carrying out numerical model construction processing to generate an inherent frequency numerical sample data set; according to the inherent frequency numerical sample data set, carrying out sensitivity analysis to obtain a main control factor screening result; according to the main control factor screening result, establishing a prediction model to obtain an inherent frequency prediction model; inputting real-time main control factor data obtained through field monitoring into the inherent frequency prediction model for prediction processing to obtain inherent frequency time-frequency characteristics and main frequency information of the target deep buried joint rock mass tunnel. The application significantly improves construction safety and engineering decision efficiency.

The invention relates to the technical field of wireless broadcast frequency adjustment, in particular to a target equipment wireless broadcast frequency dynamic adjustment method and device, a medium and equipment. The method comprises the steps of obtaining smooth environment temperature data of an environment where target equipment is located once every time a preset temperature collection time point is reached; if Tcu-Tcu-1 is greater than delta T, and tcu-tcu-1 is greater than delta t, skipping to determine an algorithm according to Tcur and a preset wireless broadcast frequency, and updating the wireless broadcast frequency of the target equipment; and otherwise, skipping to continue working at the wireless broadcast frequency currently corresponding to the target equipment. According to the invention, the normal operation of equipment and the stability of wireless communication are ensured. The frequent switching of the wireless broadcast frequency is avoided; and the energy consumption optimization is realized.

The present application discloses a method and apparatus for controlling a compressor, an air conditioner, and a computer-readable storage medium. The method for controlling a compressor comprises: inputting current environmental information, current operating condition information, and current setting information into a preset a priori control model, and performing prediction by means of the a priori control model to obtain an a priori control frequency, the a priori control model being obtained by training using historical environmental information, historical operating condition information, and historical setting information; inputting the current environmental information, the current operating condition information, and the current setting information into a preset a posteriori control model, and determining an a posteriori control frequency by means of the a posteriori control model, the a posteriori control model being obtained by constructing the a posteriori control model on the basis of a PID algorithm; and, on the basis of the a priori control frequency and the a posteriori control frequency, determining a target control frequency and controlling a compressor to operate.

To provide an improved technology that can appropriately control a frequency that is used for a magnetic bearing and the peripheral devices thereof.SOLUTION: A frequency control system 8 includes: a sensor current detector 30 for detecting a current I supplied to a displacement sensor 5 that detects a position of a floating body 2; a sensor frequency determination unit 31 for determining a sensor frequency F1 that is used for the displacement sensor 5 on the basis of the detected current I; and a control unit 33 for issuing a first warning when the sensor frequency F1 and a carrier frequency F2, F3 used for a magnetic bearing system 1 overlap on each other.SELECTED DRAWING: Figure 1

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.

The invention provides a frequency measurement method, device and equipment. The method comprises the following steps: determining the phase variation of a target baseband signal in a time window; the target baseband signal is converted from a radio frequency signal to be measured; determining the frequency of the target baseband signal according to the phase variation; and determining the frequency of a radio frequency signal corresponding to the baseband signal according to the frequency of the target baseband signal. According to the method provided by the embodiment of the invention, the frequency of the measured radio frequency signal can be efficiently and accurately calculated, the precision and resolution of frequency measurement are effectively improved, and the efficiency of frequency measurement is greatly improved.

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 invention relates to the technical field of tool control, in particular to an ultrasonic power supply frequency locking method and device, electronic equipment and a storage medium. The method comprises the steps that the real-time temperature of a current transducer is obtained based on welding response, and the real-time temperature is compared with the adjacent historical temperature to determine a temperature difference value; and when the temperature value is greater than a preset threshold value, inputting the real-time temperature, the real-time resonant frequency, the real-time voltage data and the real-time current data into a prediction model which is trained to be convergent to obtain a predicted resonant frequency, determining the predicted resonant frequency as the initial scanning frequency, and carrying out frequency locking. According to the method, a possible resonant frequency is firstly predicted by adopting a recursive least square method algorithm in machine learning, and then frequency chasing is started by taking the predicted frequency as a reference, so that the frequency sweeping time of an intermediate non-resonant frequency is avoided, and the frequency locking time is greatly shortened; for different transducer systems, a software algorithm can automatically update parameters of a software model, and the universality of algorithm application is improved.

To provide a selection device, an estimation system, etc. that can appropriately select a center frequency for which a trained model should be obtained before collecting data from a real environment.SOLUTION: The selection device includes: signal generation means for generating signal data simulating an arrival signal based on parameters including at least a center frequency and arrival angle information; correlation matrix calculation means for calculating a correlation matrix based on the signal data; inference means for generating an evaluation spectrum based on a lower triangular matrix extracted from the correlation matrix using a trained model; performance evaluation means for evaluating the performance of the trained model based on an estimated arrival angle estimated based on the evaluation spectrum and a correct arrival angle of the arrival angle information; and next frequency determination means for determining a center frequency to be evaluated next based on a result of the performance evaluation. An estimation system according to the present disclosure includes the selection device and an estimation device for estimating the arrival direction of an arriving wave.SELECTED DRAWING: Figure 1

The invention discloses a method for determining perforation damping spring parameters based on pressure wave spectrum analysis. The method comprises the following steps: 1) acquiring pressure wave data during perforation of different reference oil and gas wells; 2) establishing a pressure wave database under different well condition parameters; 3) selecting pressure wave data corresponding to the reference well under approximately same well conditions; 4) obtaining a time-domain pressure curve according to the pressure wave data, and obtaining a frequency-domain pressure curve through spectral analysis; 5) processing the frequency domain pressure curve to obtain a key frequency; 6) determining the design reference frequency of the perforation damping spring according to the key frequency; (7) determining the inherent frequency of the perforation damping spring according to the optimal shock insulation frequency ratio; (8) according to the inherent frequency of the perforation damping spring, the function relation of the spring wire diameter, the spring intermediate diameter and the number of effective turns is obtained; and 9) determining the numerical values of the spring wire diameter, the spring pitch diameter and the number of effective turns according to the structural constraint. The method belongs to the technical field of oil-gas well oil pipe transmission perforation, parameters are reasonably determined, and the application effect is good.

The application provides a method, device and storage medium for identifying structural modal parameters. The method comprises: obtaining dynamic response information of a structure in a running state through a channel; performing Fourier transform on the dynamic response information to determine a power spectrum of the structure; determining a natural frequency of each modal of the structure based on the power spectrum; determining a filter frequency band of an i-th modal signal based on the natural frequency of the i-th modal; determining a first matrix; determining a second matrix based on the first matrix; performing singular value decomposition on the second matrix to determine a singular vector corresponding to a maximum singular value; and determining a modal parameter of the structure based on the singular vector, the modal parameter being a modal shape of the structure. The application has the advantages of high efficiency and high precision in identifying modal parameters.

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 invention discloses a processor frequency determination method and device and electronic equipment, and belongs to the technical field of computers.The method can comprise the steps that under the condition that first input of a user to an application icon is received, first starting information of a first stage of application starting is obtained; according to the first startup information of the first stage, the reference processor frequency and the expected startup completion time of the application, determining a second processor frequency of the electronic equipment in a second stage of application startup; wherein the first starting information comprises a first load proportion, the first load proportion is the share of the load of the first stage in the total load of application starting, the reference processor frequency is the average processor frequency of the last application starting stage, and the expected starting completion time is the time of ending application starting animation display.

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 invention discloses a log deduplication method and device, a nonvolatile storage medium and electronic equipment. The method comprises the following steps: determining a log identifier corresponding to a log according to a log template corresponding to the log and context information of the log; counting the occurrence frequency of the log identifier in a preset time window; determining an information entropy of a preset time window according to the occurrence frequency of the plurality of log identifiers; and under the condition that the information entropy is smaller than a preset threshold value, performing duplicate removal processing on the logs in the preset time window. The technical problems that the log context information is damaged and the de-duplication efficiency is low due to de-duplication only based on a log template in related technologies are solved.

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 application discloses a spatiotemporal compression joint optimization method, device and system for federal learning, comprising the following steps: a server acquires its own initialization configuration information and acquires environmental data information reported by each working node, wherein the initialization configuration information comprises a preset convergence factor and / or a search interval; for each communication frequency in the search interval, the server calculates a communication frequency evaluation value corresponding to each working node based on the environmental data information of the working node and the initialization configuration information, and determines the maximum value of the communication frequency evaluation values of all working nodes under the communication frequency; the minimum value is selected from the maximum values of all communication frequency evaluation values in the search interval, and the communication frequency corresponding to the minimum value is determined as the global optimal communication frequency; and the global optimal gradient compression rate is determined based on the global optimal communication frequency and the preset convergence factor, and the two optimal parameters are broadcast to each working node, so that the working node obtains the compressed cumulative gradient by performing spatiotemporal compression according to the two optimal parameters.