79 results about "Hysteresis" patented technology

The invention discloses an earth and rockfill dam seepage-deformation early warning method and system based on time-space combined anomaly, and belongs to the field of dam body safety data research. The method comprises the following steps: constructing a spatio-temporal topological graph based on an engineering coordinate system, integrating multi-dimensional data by nodes, and constructing a dynamic adjacency matrix according to spatial distance and seepage relevance; extracting features by using a space-time diagram convolutional network, a self-loop mechanism and cross-layer attention; and executing dual-drive early warning through standard threshold preliminary screening, multi-scale LSTM prediction and a time decay evidence theory. The system comprises a sensor network and an intelligent computing module, and the intelligent computing module has adaptive modeling and visualization functions. According to the scheme, seepage-deformation space-time correlation quantitative analysis is achieved, the hysteresis effect is captured, the threshold value is dynamically corrected, multi-source evidences are fused, the early warning timeliness and accuracy are improved, and the risk of false alarm and missing alarm is reduced.

The invention discloses an energy storage system state evolution trend prediction method based on multi-source data fusion. The method comprises the steps of terminal voltage, current and temperature time sequence data acquisition, time sequence segmentation normalization, multi-physics field coupling feature construction, trend prediction model construction and training and energy storage system state evolution trend prediction. According to the method, the distinguishing capacity of the model for charging and discharging physical characteristics is improved, meanwhile, the voltage change rate, the multi-dimensional feature vector of the differential internal resistance and the thermal-electric coupling effect and the explicit encoding electric-thermal-resistance coupling relation are constructed, the transient response and the temperature hysteresis effect can be effectively captured, and then the model can be used for analyzing the charging and discharging physical characteristics. A degradation-aware cross-cycle feature extraction and gating mechanism is adopted, short-term fluctuation and long-term trend are adaptively balanced in multi-scale prediction, the prediction conflict problem is relieved, finally, physical constraints based on the electrochemical law and the internal resistance temperature characteristic are embedded in a loss function, it is ensured that the prediction result is accurate in numerical value and conforms to the physical law, and the prediction accuracy is improved. And generation of physically impossible solutions is avoided.

The invention provides a biphase composite magnetic material magnetically controlled reactor electromagnetic transient simulation method, device and equipment and a medium, and relates to the technical field of power equipment magnetic material testing and electromagnetic transient simulation. According to the invention, the test winding is arranged on the excitation winding of the magnetically controlled reactor, and multi-dimensional means of obtaining total iron loss through an open circuit test, obtaining magnetic hysteresis loss through a frequency reduction test, obtaining copper loss and leakage reactance through a short circuit test and the like are combined, so that separation of magnetic hysteresis loss, eddy current loss and additional loss can be realized; a high-fidelity hysteresis loop and a magnetic conductivity change rule are obtained, and the nonlinear characteristic and hysteresis response of the magnetic core can be accurately captured, so that the predictive capability of equipment performance and the sensing capability of an operation state are improved.

The invention provides a hysteresis loop analysis method for a transformer no-load loss test, and belongs to the technical field of transformers. Exciting voltage and current signals are collected in a transformer no-load state, and an active filter is used for carrying out digital filtering processing to eliminate harmonic interference; a data corresponding relation between magnetic flux density and magnetic field intensity is established through a digital integration algorithm and a magnetic field intensity calculation formula to form original hysteresis data, the original hysteresis data is processed by using a hysteresis loop optimization model, a complete hysteresis loop curve is generated, and the hysteresis loop area is calculated. According to the hysteresis loop area, the hysteresis loss power density is calculated through the iron loss calculation function, the total value of the transformer no-load loss is obtained by combining the eddy current loss calculation result, and the technical problems that the hysteresis loop reconstruction precision is not high and the complex hysteresis phenomenon cannot be adapted in the transformer no-load loss test are solved.

The invention provides a coal mine rock burst dynamic early warning method and device based on microseism. According to the method, dynamic prediction and real-time early warning of the rock burst risk can be realized, the adaptability of the early warning model to the mining process and the geological condition change is improved, the prediction hysteresis is effectively reduced, and the early warning accuracy is improved.

The invention relates to a current measurement method and device, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring the magnetic field intensity of the two sides of a monitoring point at the current moment through a first magnetoresistive sensor and a second magnetoresistive sensor which are deployed on the two sides of the same monitoring point of a power transmission line to obtain first magnetic induction intensity and second magnetic induction intensity; wherein the first magnetoresistive sensor and the second magnetoresistive sensor are located in the same electromagnetic environment; according to the first magnetic induction intensity, the second magnetic induction intensity and the error coefficient of the first magnetoresistive sensor and the second magnetoresistive sensor, the initial current value of the monitoring point at the current moment is determined, and the influence of the hysteresis effect on the current value is eliminated; and Kalman filtering processing is carried out on the initial current value of the monitoring point at the current moment to obtain the target current value of the monitoring point at the current moment, so that the accuracy of the measured current value is further improved.

The invention provides a method and equipment for calculating hysteresis loss of an axial electromagnetic bearing, and belongs to the technical field of hysteresis loss calculation. The method comprises the following steps: establishing an equivalent magnetic circuit model; under the condition of axial vibration of the thrust disc, magnetomotive force is calculated, and total dynamic magnetic flux is determined through an equivalent magnetic circuit model; establishing a quantitative relationship between any two of the maximum magnetic flux density amplitude, the magnetic hysteresis loss and the angle parameter representing the magnetic hysteresis effect; taking magnetomotive force as magnetic field excitation, taking total dynamic magnetic flux as magnetic field response, and constructing complex permeability based on a quantitative relation; updating the equivalent magnetic circuit model by using the complex permeability; solving the maximum magnetic flux density amplitude of each region of the iron core under the dynamic working condition through iterative calculation; calculating the hysteresis loss of each region based on the quantitative relation and the maximum magnetic flux density amplitude of each region; and the total magnetic hysteresis loss is calculated. Based on the method, the invention further provides calculation equipment for the hysteresis loss of the axial electromagnetic bearing. According to the method, the hysteresis loss of the axial electromagnetic bearing under the dynamic operation condition can be accurately calculated.

The invention discloses an energy-saving control method for a new-energy high-low-voltage direct-current relay. The energy-saving control method comprises the steps of analyzing a mapping relation between a silicon steel sheet stacking angle and a magnetic flux path deviation, calculating magnetic domain wall moving resistance according to magnetic domain boundary stress, determining a magnetic domain overturning speed by combining a magnetic field change rate, and measuring a hysteresis loop width parameter. Adjusting the width and frequency of the excitation current pulse according to the magnetic domain overturning frequency and the hysteresis loop offset and width to obtain an optimized excitation current pulse sequence, and determining the hysteresis loop expansion speed according to the hysteresis loop area change rate; the local high-temperature area temperature is analyzed through the iron core temperature rise rate, the local high-temperature area distribution and the magnetic domain energy dissipation data, if the local high-temperature area temperature exceeds the preset threshold value, the excitation current pulse is adjusted, stable iron core temperature rise control data is obtained, the coercive force change amplitude is determined, the magnetic hysteresis loss and the temperature rise are reduced, the stability of the relay under high-frequency switching is improved, and the reliability of the relay is improved. And the operation efficiency and reliability of the system are greatly improved.

The invention belongs to the technical field of magnetic variable measurement, and particularly relates to a power driving compensation method and system for magnetostrictive load characteristic monitoring, and the method comprises the steps: obtaining a reference zero point of magnetic performance evolution in a cold state environment of an electromagnetic system according to the center frequency of the electromagnetic system; calculating a current main frequency impedance module value and a phase difference through an electrical parameter characterization method, and obtaining a thermal drift index reflecting a hysteresis loop distortion degree in combination with a reference zero point; obtaining correction factors of all orders based on the thermal drift index and the average output power at the current moment, and dynamically updating a coefficient vector of the inverse model; and constructing a pre-distortion driving voltage signal capable of counteracting nonlinear interference by using the new coefficient and the ideal guided wave voltage sequence, and inputting the pre-distortion driving voltage signal to a power amplifier to drive the magnetostrictive transducer. According to the invention, the problem of predistortion failure under a variable-temperature working condition in the prior art is solved, and the signal-to-noise ratio of high-power long-distance guided wave detection is remarkably improved.

The invention relates to the technical field of risk analysis, in particular to a water conservancy project risk assessment method based on big data, which comprises the following steps: acquiring deformation and water level signals and converting the signals into a sequence, generating an original monitoring sequence based on a timestamp, identifying a whole process span and intercepting and generating a periodic data set, generating a complete monitoring sequence by using interpolation filling, constructing a water level displacement closed curve, calculating a vector product difference value to obtain a geometric area, calculating an arithmetic mean value to generate a centroid coordinate, obtaining a dissipated energy increase coefficient and a structure permanent deformation cumulant, and generating an evaluation result based on threshold comparison. According to the method, the two-dimensional phase space model is established, the structure response is converted into the closed trajectory curve, the hysteresis loop area and centroid offset are calculated, energy dissipation and deformation accumulation of the structure under cyclic loading are quantitatively represented, abnormal plastic damage is effectively stripped, and early recognition of the potential irreversible damage risk of the structure is achieved.

This invention proposes a metal soft magnetic powder core with excellent low-frequency magnetic properties and its preparation method, belonging to the field of magnetic materials. Using at least nano-boron powder and iron-silicon soft magnetic alloy powder as raw materials, high-temperature diffusion and high-temperature nitriding treatments are employed. Part of the nano-boron powder forms a high-resistivity iron-silicon-boron permeation layer on the surface of the iron-silicon soft magnetic alloy powder, while some nano-boron powder forms a boron nitride insulating layer with both high resistivity and high thermal stability between the iron-silicon soft magnetic alloy powders, effectively controlling eddy currents. Hot pressing further increases the density of the metal soft magnetic powder core, reduces the demagnetizing field, thereby improving permeability and reducing hysteresis loss. Thus, excellent low-frequency magnetic properties of high density, high permeability, and low loss are simultaneously obtained in the metal soft magnetic powder core.

The invention provides a fault prediction and self-protection method and system for heave compensation of a diving bell, and the method comprises the following steps: obtaining the displacement of a hydraulic cylinder of a heave compensation device and the pressure data of an energy accumulator, constructing a hysteresis loop, converting the hysteresis loop into a feature field image, and analyzing and calculating a topological feature descriptor through geometric moment. By performing inverse frequency domain analysis on the pressure data, a friction texture signal is separated and an energy entropy value of the friction texture signal is calculated. Mapping the topological feature descriptor to a control variable space defined by a nonlinear cuspidal point mutation model, and calculating a geometric distance from a current state point to the boundary of a model bifurcation set; and solving an instability prediction index by combining the distance and the energy entropy. And when the index exceeds the limit, the system triggers variable damping control and gradually locks the hydraulic cylinder to realize self-protection. According to the method, the technical problem that the sudden instability failure of the system caused by multi-factor coupling is difficult to warn in advance by a traditional method is solved.

The application discloses a dynamic magnetic hysteresis model of amorphous / nanocrystalline alloy core considering stress dependence and temperature dependence, separates the magnetic field inside the amorphous / nanocrystalline alloy core according to the loss separation thought, and obtains corresponding magnetic field intensity by differentiating eddy current loss and residual loss with respect to magnetic flux density on the basis of the relationship between field quantity and energy, the magnetic hysteresis loss and the eddy current loss considering the stress dependence and the temperature dependence, and the dynamic magnetization characteristics generated by the eddy current loss and the residual loss of the amorphous / nanocrystalline alloy core. The dynamic magnetic field intensity of the amorphous / nanocrystalline alloy core is divided into the sum of the magnetic field intensities corresponding to the hysteresis loss, the eddy current loss and the residual loss based on the field separation technology and the loss statistical theory, and the dynamic magnetic hysteresis model of the amorphous / nanocrystalline alloy core under the influence of stress and temperature is established.

The invention provides a power load monitoring data fusion method, device and equipment and a storage medium, and the method comprises the steps: firstly obtaining power load multi-source data containing meteorological elements, and constructing a power physical constraint branch according to the data; a differential equation module is used for modeling a temperature response curve, a delay integral module is used for simulating a rainfall penetration process, and physical rule dynamic weights are generated and set as gating signals. And the gating fusion unit is controlled to output the weight through the signal, so that load monitoring physical rule embedding is realized. According to the method, a power physical constraint branch is constructed, a temperature-power relation and a precipitation hysteresis effect are modeled by a specific module, a dynamic weight driving gating signal is generated, a physical rule is embedded into a fusion model, and the accuracy and generalization of load monitoring are improved.

This invention discloses a wide-temperature-range magnetic powder core loss calculation model, method, system, storage medium, and device, relating to the field of magnetic core loss technology. It embeds temperature as an independent variable into the magnetic powder core loss calculation model; considering the loss characteristics of magnetic powder cores over a wide temperature range, it establishes a piecewise function conductivity model based on the material properties of the magnetic powder core; it establishes a full-band dynamic calculation framework model covering hysteresis, eddy currents, and residual losses; and it calculates the wide-temperature-range magnetic powder core loss by substituting the collected data into the full-band dynamic calculation framework model. This invention utilizes a multi-stage nonlinear conductivity model based on the insulation failure threshold, overcoming the limitations of traditional linear or single-function models. By dividing conductivity into two dominant stages through the critical temperature Tc, this dual-stage switching mechanism realizes the abrupt change in conductivity response when the temperature crosses the critical value, accurately capturing the surge in eddy current paths caused by insulation failure, and providing a quantitative basis for high-temperature fault early warning.

The invention provides a high-efficiency magnetic field optimization method for a wind power electromagnetic brake, and belongs to the technical field of wind power electromagnetic brakes. Air-gap magnetic field distribution is calculated by using a fast multi-pole expansion algorithm, and feedforward compensation is performed on coil excitation current through a Preisach inverse model adaptive identification algorithm to improve the uniformity of a magnetic field; an operator splitting method is adopted to solve a magnetic-thermal coupling problem, material parameters are corrected according to temperature, an optimization objective function including air gap magnetic flux density maximization, magnetic field uniformity minimization and temperature constraint is established, Latin hypercube sampling is utilized to generate a training data set, optimization iteration is carried out through a Kriging agent model in combination with an expectation improvement criterion, and a training result is obtained. And outputting the optimal design parameters. The technical problems that the calculation efficiency of the wind power electromagnetic brake in the magnetic field optimization process is low, and the hysteresis nonlinear characteristic and the multi-physical field coupling effect are difficult to accurately consider are solved.

The invention discloses a quantitative analysis method and system for overheat fault gas of an on-load tap-changer contact. The method comprises the following steps: constructing a multi-physical field coupling mathematical model of an on-load tap-changer, and defining contact resistance of a contact surface; solving the multi-physics field coupling model to obtain time domain and space domain temperature distribution of the surface of the on-load tap-changer contact, and determining the highest temperature and the volume of an overheat region; calculating the local gas production rate of each fault characteristic gas; carrying out integral calculation on local gas production rates of all fault characteristic gases in the hot area volume to obtain theoretical equilibrium concentration of each fault characteristic gas in oil, and constructing a mapping relation between an overheating parameter formed by the contact resistance and the highest temperature of the contact surface and the theoretical equilibrium concentration; the method aims at solving the problems that a traditional analysis method for the gas dissolved in the oil depends on experience criteria and is high in hysteresis quality, breaks through the bottleneck that the whole process of electricity-heat-fluidization cannot be simulated from the mechanism level, and achieves the crossing from qualitative diagnosis to quantitative prediction.

The method for calculating the dynamic hysteresis loop of the dynamic analytical inverse Preisach model based on the R-L fractional derivative includes the following steps: establishing an analytical static positive Preisach model considering reversible components; establishing a static analytical inverse Preisach model considering reversible components; constructing a dynamic analytical inverse Preisach model by introducing dynamic eddy current loss components and additional loss components based on loss statistics theory and field separation technology; improving the dynamic eddy current loss components using the R-L fractional derivative; and identifying the parameters of the dynamic eddy current loss components improved by the R-L fractional derivative in the dynamic analytical inverse Preisach model. This invention improves the static analytical positive Preisach model and dynamic loss characteristics, and introduces a parameter identification algorithm to improve the parameter determination method, thereby achieving the goal of accurately simulating the dynamic hysteresis characteristics of ferromagnetic materials.

The invention relates to the technical field of electric energy conversion control, in particular to a frequency adjusting method and system of a switching power supply. According to the invention, a multi-dimensional state information base is constructed by scanning a preset frequency interval and synchronously acquiring magnetic core response, system power consumption and electromagnetic noise data, so that frequency bands with unqualified performance can be pre-screened and isolated based on hard constraint conditions of power consumption and noise; it is ensured that follow-up frequency selection is always carried out in a safe and compliant range, on this basis, through accurate calculation and sorting of the hysteresis loop width of available frequency points, an initial working point with the lowest magnetic core loss can be positioned, deep optimization of energy conversion efficiency is achieved, and more importantly, in the power supply operation process, the energy conversion efficiency is greatly improved. Dynamic changes of magnetic core loss can be monitored in real time, closed-loop feedback is formed, loss deviation is converted into dynamic correction on working frequency, and the switching power supply can actively adapt to external condition changes such as load fluctuation or temperature drift.

The invention provides a Hall memristor based on an aged insulator and storage and calculation integrated computing equipment, and the method comprises the steps: firstly, through symmetry engineering design, employing a quasi-two-dimensional aged insulator which breaks the central symmetry and rotational symmetry, supporting a quantum abnormal Hall state at the same time, and generating track magnetization and the coupling of an in-plane electric field and out-of-plane magnetization; secondly, a quantum geometric mechanism is introduced into the quantum Hall state without the Fermi surface, intrinsic track magnetoelectric coupling is achieved, and the dependence of a traditional mechanism on the Fermi surface is broken through; and the domain wall is directly driven by the in-plane electric field to move to realize magnetization overturning, so that the participation of body current is avoided, and the energy consumption is remarkably reduced. And finally, the device combines the overturning of the magnetic state with the hysteresis behavior of the Hall resistor, and the inherent non-volatility and memory characteristics of the device provide a key device basis for constructing novel calculation hardware integrating storage and calculation.

This invention provides a gamma-ray-based tank parameter measurement device, installed on a working tank, comprising: a radiation source, a level gauge, at least two thickness gauges, and a control host. The installation height of each thickness gauge corresponds to the installation height of one of the radiation sources, making the thickness gauge and radiation source radially symmetrical on the working tank, forming an independent through-beam measurement optical path. The control host receives the level signal and triggers the thickness gauge to perform wall thickness measurement when the material level drops below the installation height of one of the thickness gauges. This invention significantly extends equipment lifespan by having the control host trigger measurement only when the material level drops below the installation position of a certain thickness gauge, while the thickness gauge remains silent at other times. It also ensures that measurements are performed in an empty tank window free from material interference, resulting in accurate and valid data. The hysteresis range setting prevents frequent start-stop cycles caused by level fluctuations, ensuring stable and reliable system operation.

The application discloses a kind of electric testing grounding ring loosening fault monitoring method and system, specifically related to overhead line hardware mechanical connection state monitoring technical field, to solve the problem that existing method is difficult to identify early fretting wear of electric testing grounding ring connection interface from environmental interference under icing and ice melting alternating conditions;By obtaining the temperature signal and strain signal at the connection interface of aluminum wire clamp and copper grounding body, the temperature slowly varying trend component, strain slowly varying trend component and strain high frequency component are obtained by empirical mode decomposition, a temperature-strain hysteresis curve is constructed based on the temperature slowly varying trend component and strain slowly varying trend component, and the envelope area is calculated, when the envelope area is greater than the preset reference area, the rising edge steepness of local peak points in each segment of strain high frequency component and the signal energy ratio of the front and rear time periods are extracted to form statistical distribution characteristics, and the statistical distribution characteristics are matched with the pre-stored stick-slip characteristic template to determine whether fretting wear occurs at the connection interface.

The application discloses a kind of based on the prediction method of cyclic creep deformation behavior of unified viscoplastic theory, specific implementation is at the same test temperature, carry out cyclic creep test under different conditions, obtain corresponding data;Unified viscoplastic constitutive model is established, including the establishment of main control equation, flow rule, movement hardening criterion, isotropic hardening criterion;A group of strain control creep-fatigue tests at the above temperature is carried out, and corresponding data is obtained, including each cycle hysteresis loop, each cycle peak stress, strain amplitude;The initial material parameters of the constitutive model are determined using the creep-fatigue test data, and the optimal material parameters are obtained by fitting a group of cyclic creep deformation curves through trial parameter method;The final constitutive model is determined using the obtained optimal material parameters, and the deformation behavior of the material under cyclic creep load is predicted by the constitutive model.The application has the advantages of strong applicability and high precision, and can predict the deformation behavior of the material under cyclic creep.

The application discloses an intelligent friction pendulum isolation bearing and a state monitoring and fault diagnosis system. First, finite element analysis and calculation are carried out on the friction pendulum isolation bearing, so that the hysteresis curve and stress threshold change characteristics of the bearing under the operating condition are obtained; second, the hardware of the bearing state monitoring and fault diagnosis system is built, and the real-time acquisition and transmission of the stress, acceleration and displacement state of each component unit in the bearing and the overall structure of the bearing are completed; third, the system application sensors are accurately arranged according to the finite element analysis result; and finally, the pre-processing, deep learning and information storage of the multi-element data are realized in combination with the software of the bearing state monitoring and fault diagnosis system. The application can timely and accurately monitor and evaluate the operating state of the bearing and analyze and diagnose the health state of the bearing, so that the fatigue damage and structural damage of the bearing caused by the influence of operating conditions, environment and other factors for a long time are prevented, and the reduction of the operating reliability and service safety of the bearing is avoided.

This application relates to the technical field of soft magnetic material alloys, specifically to an alloy and its preparation method, a passive shutdown device, and a reactor. The alloy comprises: 60.0-75.0% Ni by weight, 0.1-0.5% Mn by weight, 0.01-0.1% Si by weight, less than 0.01% C by weight, with the balance being Fe. The alloy prepared using the composition provided in the embodiments of this application exhibits high Curie temperature control accuracy at high temperatures, and also possesses high permeability and low hysteresis loss. Its magnetic flux can change rapidly within a predetermined temperature range. Therefore, when applied to a passive shutdown device, the alloy can rapidly demagnetize above the predetermined temperature range, causing the control rods to fall into the reactor core, thus meeting the high sensitivity technical requirements of passive shutdown devices.

The application discloses a kind of overheat fault gas quantitative analysis method and system of on-load tap-changer contact, the method of the present application includes constructing the multi-physics field coupling mathematical model of on-load tap-changer, define contact surface contact resistance;Solving multi-physics field coupling model obtains the time domain and spatial temperature distribution of on-load tap-changer contact surface, determine the highest temperature and the volume of overheated area;Calculate the local gas production rate of each fault characteristic gas;The local gas production rate of all fault characteristic gases in the volume of hot area is integrated to obtain the theoretical equilibrium concentration of each fault characteristic gas in oil, construct the mapping relationship between the overheating parameters of contact surface contact resistance and highest temperature and theoretical equilibrium concentration.The present application aims to solve the problem that the traditional oil dissolved gas analysis method relies on empirical criterion and has high hysteresis, break through the bottleneck that cannot simulate the whole process of "electric-thermal-flow-chemical" from mechanism level, realize the leap from qualitative diagnosis to quantitative prediction.

The invention provides an online evaluation method and system for the magnetizing inrush current suppression capability of a transformer, and relates to the technical field of power system operation evaluation, and the method comprises the steps: collecting the fracture voltage data of a primary winding of the transformer, and calculating the initial residual magnetism amount of an iron core through a magnetic flux reconstruction algorithm; an improved harmonic superposition method is adopted to decompose a transformer input transient primary side current waveform, a harmonic component is obtained through screening, and a distortion coefficient of the harmonic component is calculated; substituting the distortion degree coefficient and the initial residual magnetism quantity of the iron core into the established hysteresis loop model to obtain a working point track of the transformer iron core at the moment of input; and based on the dynamic change characteristic of the working point track, the working point track is corrected by combining the micro magnetic conductivity parameter of the iron core material, and an evaluation index of the magnetizing inrush current suppression capability of the transformer is obtained. According to the method, the dynamic characteristics and the nonlinear loss characteristics of the inrush current harmonic waves are quantified, the inrush current risk when the transformer is put into operation is effectively reduced, and the safety and the stability of power system operation are enhanced.

The application discloses a method for extracting middle layer top temperature multi-period characteristics and analyzing influencing factors, and belongs to the technical field of atmospheric detection and meteorological data analysis. The method first extracts time series data of the middle layer top temperature based on the 90km height and the lowest temperature point standard, then completes time domain trend and mutation analysis through seasonal departure and Mann-Kendall test, adopts discrete wavelet decomposition to obtain four main oscillation periods of 3 years, 7 years, 11 years and 22 years, then uses continuous wavelet to obtain the length of the fine-calibrated period, and finally performs cross wavelet analysis on the quasi-biennial oscillation, the El Nino effect and the solar activity index to obtain the final correlation and time lag results. The application realizes joint time-frequency domain analysis of discrete wavelet transform, continuous wavelet transform and cross wavelet transform, effectively improves the cycle recognition accuracy, quantifies the multi-scale correlation and time sequence hysteresis of each factor, and provides a new research idea for high-altitude atmospheric climate influencing factor analysis.

The invention relates to the technical field of simulation design, and particularly discloses a simulation design method of a four-side focusing magnetic field power supply, which comprises the following steps of: receiving a current current instruction and electrical parameters of a quadrupole magnet, the electrical parameters comprising an inductance value and a resistance value; constructing an electrical parameter deviation table, wherein the electrical parameter deviation table is used for storing electrical parameter deviations in different current change scenes; matching a corresponding electrical parameter deviation C from an electrical parameter deviation table according to the change direction and amplitude of the current instruction; the current current instruction is corrected according to the electrical parameter deviation C, a target instruction is obtained, and the target instruction is used for driving simulation operation of the four-side focusing magnetic field power supply. By constructing the electrical parameter deviation table and matching and correcting the current instruction in real time, the simulation model dynamically reflects the hysteresis effect, and the simulation precision and stability of the four-side focusing magnetic field power supply are remarkably improved.