78 results about "Magnetic parameter" patented technology

The invention discloses a high-precision power supply output correction method based on a digital pre-distortion technology, and relates to the technical field of power electronics, and the method comprises the steps: integrating an electricity-heat-magnetism real-time combined observer, and inputting parameters including a power supply output voltage, a current, a power device junction temperature, a magnetic element surface temperature, an environment temperature, and an input voltage ripple; using a hierarchical memory depth pre-distortion compensator to generate an anti-phase pre-distortion signal containing long time domain thermal constant compensation and short time domain capacitance energy storage compensation based on modeling engine output; based on a double-ring adaptive updating module, an inner ring updates electrical parameters, including on resistance and dead time, by taking a switching period as a reference, and an outer ring updates thermomagnetic parameters, including thermal resistance and a magnetic core saturation point, in a minute-level period; and the DAC is connected in series with a pre-distortion signal output end through an anti-interference execution channel, and comprises a noise shaping DAC and a driving stage for delay matching. According to the invention, through an electric-thermal-magnetic three-field combined observation architecture, the limitation of traditional single physical field monitoring is broken through.

The embodiment of the invention provides a transformer loss monitoring method and a transformer loss monitoring system, and the monitoring method comprises the steps: dynamically updating winding resistance, excitation reactance and iron core magnetic conductivity according to an electromagnetic parameter and a temperature parameter in a state vector space through employing a complex frequency domain parameter identification algorithm which introduces a fusion expansion Cole-Cole model; the no-load loss and the load loss are decoupled through an improved all-electric difference method, the dynamically updated excitation reactance and the iron core magnetic conductivity are used for decoupling the no-load loss, and the dynamically updated winding resistor is used for decoupling the load loss; and taking the decoupled loss data and the associated parameters in the state vector space as the input of an LSTM-Transform hybrid model loaded on the edge calculation module, and predicting and outputting the load loss trend in the future time period. According to the transformer loss monitoring method, the real-time performance, the accuracy and the adaptability of transformer loss monitoring are improved.

The invention discloses a transient electromagnetic and magnetic method data joint inversion method. The method comprises the following steps: acquiring transient electromagnetic observation data and magnetic method observation data; converting the transient electromagnetic observation data into transient electromagnetic moment data; based on the transient electromagnetic moment data and the magnetic method observation data, a joint inversion objective function is constructed, and the joint inversion objective function comprises a data fitting residual term and a model constraint term; performing parameter coupling on the model constraint term by using a multivariate Gaussian mixture model to obtain a coupled model constraint term; and combining the data fitting residual term and the coupled model constraint term into a final objective function, and minimizing the final objective function through an optimization algorithm to obtain an electrical parameter and a magnetic parameter of the underground medium. According to the method, transient electromagnetic and magnetic method data joint inversion is realized, the problem of low three-dimensional inversion calculation efficiency is solved by introducing transient electromagnetic moment, and electrical and magnetic parameters are coupled by utilizing rock physics constraint, so that the inversion result is more accurate, and the structure is more consistent.

The invention provides a method for plasma bombardment energy distribution detection and life prediction of a silicon carbide part, and belongs to the technical field of semiconductor processing based on deep learning. The method comprises the following steps: firstly, arranging a magnetic probe array to obtain local electromagnetic parameters, and obtaining plasma luminescence characteristics by using optical imaging and spectrum acquisition equipment; preprocessing the acquired data to obtain multi-source fusion features; designing an energy distribution reconstruction framework based on a generative adversarial network, wherein a generator is used for deducing a three-dimensional energy distribution field of plasma; and inputting the three-dimensional energy distribution field time sequence characteristics into a bombardment dynamic characteristic modeling time sequence depth network, establishing a nonlinear mapping relation between energy distribution and material aging, further obtaining life prediction parameters, and finally obtaining the remaining service life of the silicon carbide part. According to the method, a complex degradation mechanism can be reflected more accurately, and the precision and robustness of life prediction are remarkably improved.

The invention relates to a high-temperature irreversible magnetic flux loss proportion and residual magnetism prediction method, belongs to the field of high-temperature-resistant permanent magnets, and is particularly suitable for predicting irreversible magnetic flux loss proportion and residual magnetism generated when high-temperature magnets such as SmCo and the like are subjected to high-temperature pre-stabilization treatment. The core of the method is as follows: the irreversible magnetic flux loss proportion and the residual magnetism of a magnet element subjected to high-temperature pre-stabilization treatment at a specific temperature can be accurately calculated only by inputting three key parameters of the geometric shape of the magnet, the knee-point magnetic field intensity with international standards and the residual magnetism, and the method is simple and efficient in calculation process; a reliable and easily-obtained magnetic parameter basis is provided for accurate design of a high-temperature permanent magnet magnetic circuit, and the design efficiency and reliability are remarkably improved.

The invention relates to the technical field of low-temperature environment simulation and material characteristic test, in particular to a high-speed rail traction system fault diagnosis method based on electromagnetic parameter fusion, which is used for solving the problems of material electromagnetic characteristic test distortion and fault diagnosis algorithm verification deficiency in a high and cold environment. The method comprises the following steps: constructing a multi-physical field coupling test environment, simulating temperature cycle and humidity sudden change working conditions from-50 DEG C to + 80 DEG C, and synchronously acquiring dynamic parameters of resistivity, dielectric loss and magnetic conductivity; according to the method, the limitation of a traditional static test is broken through, the real representation of the material performance degradation rule is realized, a closed-loop verification system of laboratory and field data is constructed, and the performance of the material is verified. The accuracy and environmental adaptability of fault diagnosis in a high and cold environment are remarkably improved, and reliable guarantee is provided for safe operation of a traction system under an extreme working condition.

The invention provides a gyroscope-assisted geomagnetic calibration method of layered parameter adjustment EKF, and relates to the technical field of sensor data processing and attitude calculation. According to the method, under a traditional EKF framework, a hierarchical selection mechanism for a process noise control parameter alpha and an observation noise adjustment parameter beta is introduced, a historical attitude quaternion and a geomagnetic observation value are subjected to statistical analysis through a sliding window mechanism, a mean value and a variance are calculated respectively, expert voting is carried out according to the deviation degree, and a process noise control parameter alpha and an observation noise adjustment parameter beta are obtained; parameters alpha and beta are dynamically adjusted according to the voting condition, and then the parameters alpha and beta act on a prediction noise covariance matrix Qk and an observation noise covariance matrix Rk respectively. According to the method, real-time optimization of the filter parameters is realized under the condition of not adding extra hardware and complex calculation, the precision and stability of soft magnetic and hard magnetic parameter calibration are improved, and the method has the advantages of being simple to implement, suitable for embedded deployment, high in external magnetic interference robustness and the like.

This invention discloses a multi-channel electromagnetic induction detection method and system based on uniform magnetic field constraint. A uniform magnetic field is constructed within the detection area of ​​the structure under test. Electromagnetic induction response signals are acquired through multiple channels under the constraint of the uniform magnetic field, and the spatial coordinates of each acquisition channel are marked. The raw electromagnetic induction signals acquired by each channel are preprocessed, including noise reduction filtering, envelope extraction, and amplitude normalization. A deep learning model is then used to extract structural features from the preprocessed multi-channel electromagnetic response signals. Based on the spatial position information of each acquisition channel, magnetic field uniformity parameters, and response characteristics, a channel correlation weight matrix is ​​constructed to describe the spatial consistency and physical coupling relationships between channels. A multi-channel joint optimization model is constructed, and the equivalent electromagnetic parameter distribution inside the structure under test is reconstructed through iterative solution. This invention improves the reliability, repeatability, and engineering applicability of electromagnetic induction detection results.

The invention relates to the technical field of electromagnetic valve manufacturing and quality detection, and discloses an online detection system for the pressing force of a valve element of an electromagnetic valve, and the system comprises a composite magnetic field excitation module, a multi-physical field signal acquisition module, a multi-dimensional feature resolving module and a force value estimation output module. A composite magnetic field is applied to a valve element, and an induced voltage signal, a Hall signal and a temperature signal are synchronously collected; then, three characteristic quantities of harmonic amplitude, instantaneous magnetic field intensity and instantaneous temperature are calculated; and finally, inputting the three characteristic quantities into a preset multi-dimensional mapping model, and calculating to obtain a pressing force estimated value. The invention aims to solve the problem of low measurement accuracy caused by the fact that the existing single electromagnetic parameter detection is easily interfered by temperature and excitation field fluctuation. And through multi-physical field signal fusion and multi-dimensional feature compensation, the influence of disturbance factors is effectively eliminated, and the accuracy, stability and anti-interference capability of online detection are remarkably improved.

This invention belongs to the field of electrical digital data processing technology, specifically relating to a multi-objective optimization method for improving motor torque performance. The method includes: establishing a parameterized model of the motor; extracting geometric harmonic prior features based on the harmonic analysis principle of the motor's air gap magnetic flux density, and using these as a screening criterion to obtain an initial high-quality sample set; constructing a Kriging surrogate model reflecting the mapping relationship between design variables and performance response, introducing an energy efficiency boundary risk function during the construction process; based on the Kriging surrogate model, using a multi-objective optimization algorithm to search for a Pareto front solution set, selecting potential sample points from the Pareto front solution set for simulation verification, and then adaptively updating the Kriging surrogate model until the stopping criterion is met, at which point the target motor design parameters are output. This invention can achieve accurate optimization of electromagnetic parameters by screening samples through geometric harmonic prior features and utilizing the energy efficiency boundary risk function.

The application belongs to the technical field of magnetic parameter measurement, and discloses a device and a calculation method for testing magnetic force in each direction between permanent magnets. The device uses an electric sliding table and a vertical sliding table to construct a three-dimensional motion platform, and collects the magnetic force of a tile-shaped permanent magnet under different spatial displacements in real time through a sensor. The device can not only meet the force testing needs of the inner / outer rotor permanent magnet under the axial, radial and tangential misalignment states, but also can adapt to different sizes of the inner / outer rotor permanent magnet by adjusting the clamp. Meanwhile, the magnetic force calculation method proposed by the application takes the equivalent magnetic charge model under the cylindrical coordinate system as the theoretical basis, and accurately solves the three-dimensional magnetic force of the inner / outer rotor permanent magnet under any spatial relative position through quadruple integration. With the help of the testing device and the calculation model proposed by the application, the precise measurement and theoretical verification of the magnetic force in each direction of the permanent magnet can be realized, the calculation is simple, and the degree of coincidence is high. The testing and calculation method has engineering universality and convenience.

The invention discloses an electromagnetic torque layered modeling method based on magnetic conductance space attenuation characteristics, and relates to the technical field of permanent magnet motors, and the method comprises the steps: building an electromagnetic parameter expression through motor parameters; determining magnetomotive force parameter expressions of an armature and a permanent magnet through motor pole slot cooperation and a winding mode, and thus obtaining magnetomotive force harmonic waves; according to the condition that the number of magnetic field pole pairs in the electromagnetic parameter expression is the same, an armature magnetic field source generating average torque is limited, and an armature magnetomotive force source is determined to modulate the magnetic conductance order; determining air gap space magnetic conductance through conformal transformation; spatial layering and harmonic attenuation law analysis are carried out aiming at air gap space magnetic conductance, electromagnetic layering torque considering space attenuation characteristics is calculated through magnetomotive force harmonic and magnetic conductance harmonic modulation coupling, and weighting is carried out on the electromagnetic layering torque to obtain the total torque of the motor. According to the method, the torque modeling precision of the permanent magnet vernier motor is remarkably improved.

The present invention discloses a method for processing equivalent electromagnetic parameters of reinforced concrete for analyzing the time-domain coupling characteristics of electromagnetic pulse environments. The method first obtains the S parameters of a reinforced concrete wall structure; then, the relationship between the S parameters and the reflection coefficient and transmission coefficient is calculated; then, the relationship between the relative permittivity and relative magnetic permeability and the reflection coefficient and transmission coefficient is calculated; then, the intermediate variables, the reflection coefficient and transmission coefficient, are eliminated to obtain a relationship expressing the relative permittivity and relative magnetic permeability using the S parameters; finally, the obtained equivalent electromagnetic parameters are fitted into a specific, frequency-continuous mathematical polynomial form. The present invention overcomes the multi-valued nature of the equivalent electromagnetic parameter calculation results through imaginary part compensation, and achieves frequency-domain continuous parameter calculation in the frequency band of interest through polynomial fitting. This method can effectively reduce the computational resource consumption of complex reinforced concrete building models, and provides a method for calculating the time-domain electromagnetic coupling response of large-scale buildings to external electromagnetic pulse environments.

The invention discloses a permanent magnet synchronous linear motor optimal current control method based on a magnetic equivalent circuit model, and the method comprises the steps: considering the nonlinear behavior of a motor, building an accurate MEC model suitable for a PMLSM for a stator part, an air gap part and a rotor part through the electromagnetic quantity of the motor, and building an electromagnetic parameter and thrust balance equation; therefore, an accurate motor thrust expression is obtained, and an optimal current control strategy considering thrust accuracy and coil copper loss minimization is further designed based on the motor thrust expression. According to the MEC model and the corresponding optimal current control strategy, the calculation burden can be reduced on the basis that the model precision is ensured, meanwhile, accurate control over the position and thrust is achieved, the optimal current strategy can further reduce copper loss and improve the efficiency of the system, and high research value and application value are achieved.

This application discloses a method and apparatus for obtaining coil electromagnetic parameters. The method includes: obtaining second-level parameters of a superconducting maglev train; the second-level parameters include the levitation force and guiding force characteristics generated by the vehicle and the figure-eight coil, the drag characteristics generated by the vehicle and the figure-eight coil, and the traction force characteristics of the vehicle; determining third-level parameters of the superconducting maglev train based on the second-level parameters; the third-level parameters include the centerline dimensions of the superconducting magnetic poles, the distance between the centerline and the figure-eight coil, the distance between the centerline and the stator coil of the linear motor, the magnetomotive force of the superconducting magnetic poles, the pole pitch of the superconducting magnetic poles, the coil operating temperature, and the overcurrent and over-limit safety margin of the superconducting coil; and determining the coil electromagnetic parameters of the superconducting magnet based on the third-level parameters; the coil electromagnetic parameters include the coil operating current and the coil dimensions of the superconducting magnet. This application provides a modular design method for coil electromagnetic design, which facilitates continuous iteration and optimization between different parameter indicators.

The purpose of this invention is to provide a testing device for the electromagnetic properties of thin film materials based on a re-entrant coaxial resonant cavity, belonging to the field of electromagnetic parameter testing technology for microwave and millimeter-wave materials. The device comprises three parts: a re-entrant coaxial resonant cavity, a sample fixture, and a support base. By placing samples at the locations of strongest electric and magnetic field intensity within the resonant cavity, the complex permittivity and permeability of the thin film material can be measured. The testing of the complex permittivity and permeability of the sample is completed using only one device. Simultaneously, the sample placement gap does not interrupt the electric field lines, thus not affecting the field distribution within the cavity. This allows the device to maintain the high quality factor of the resonant cavity while reducing the cavity volume, concentrating the electric field within the resonant cavity mainly in the capacitively loaded region, improving the testing bandwidth, sensitivity, and accuracy, and reducing the requirements for sample size.

The application discloses a gravity-magnetic-electric comprehensive parameter exploration method for hot dry rock identification, and comprises the following steps: S1, acquiring gravity-magnetic-electric inversion parameters corresponding to a survey area in space, and performing grid processing on the gravity-magnetic-electric inversion parameters; S2, performing standardization processing on the grid inversion parameters; S3, calculating correlation coefficients of the density parameter and the magnetic parameter respectively by taking the resistivity as a main parameter; S4, calculating gravity-magnetic-electric comprehensive parameters; and S5, analyzing and interpreting the gravity-magnetic-electric comprehensive parameters. Through analyzing the gravity-magnetic-electric comprehensive parameters, the hot dry rock identification and delineation can be provided with higher exploration accuracy, so that the problems of low hot dry rock identification accuracy and strong randomness of identification are solved.

The invention relates to a rock ore specimen magnetic parameter measuring device and method for geological exploration, and belongs to the technical field of geological exploration, the rock ore specimen magnetic parameter measuring device comprises a tripod, a measuring device, a mounting box, a mounting plate and a floating member, the top surface of the mounting box is open, the bottom of the mounting box is provided with a first fixing member, the floating member is located in the mounting box, and the tripod is arranged on the mounting plate; the measuring device is arranged on the tripod and used for measuring magnetic parameters of the specimen; the mounting plate is embedded in the top surface of the floating part, a fixing rod is slidably arranged in the mounting plate, and a first driving part for driving the fixing rod to slide is arranged in the mounting plate; a plurality of slideways are formed in the top surface of the mounting plate, the number of the slideways is consistent with that of the tripod kickstands, the slideways are uniformly distributed along the center of the mounting plate, sliding blocks are arranged in the slideways in a sliding manner, the tripod kickstands are inserted into the sliding blocks, and a second driving part used for driving the sliding blocks to slide at the same speed at the same time is arranged on the mounting plate. The method has the advantage of improving the measurement efficiency and precision of the magnetic parameters of the specimen.

The invention discloses an induction heating optimization method and system based on numerical simulation. The method comprises the following steps: S1, establishing a three-dimensional geometric model comprising an induction coil, a workpiece and a magnetizer; s2, electromagnetic parameters and thermal field parameters are set based on the three-dimensional geometric model; s3, performing grid division on the three-dimensional geometric model; s4, operating an electromagnetic-thermal sequential coupling solver, calculating transient distribution of an electromagnetic field and a temperature field based on the parameters set in S2 and the grids generated in S3, dynamically updating material attributes according to the current temperature field in each time step, and performing iterative solution; and S5, processing the field distribution data obtained by solving in the step S4, generating a visual result and extracting key performance indexes. According to the invention, the distribution of the magnetic field and the temperature field can be accurately optimized, and meanwhile, extremely high heating efficiency, excellent temperature uniformity and excellent process controllability are realized.

The invention provides a spin wave test image denoising method, which is a data processing method provided based on a microwave excitation-electrical detection spin wave technology, and comprises the following steps of: firstly, subtracting original data from data at a maximum magnetic field; secondly, the processed data matrix is divided into a limited number of sub-matrixes, medians under different frequencies in each sub-matrix are obtained to serve as reference signals, final spin wave transmission signals are obtained by subtracting data in the sub-matrixes, and finally spin wave magnetic parameters are obtained through fitting by means of a spin wave frequency formula. Most signals which do not change along with the change of the magnetic field are removed, and the method is suitable for removing background noise of instrument lines and devices in a spin wave transmission experiment and improving the signal-to-noise ratio of data.

The application discloses a preparation method and application of Co@G / CNT nanorod composite material with super-wide electromagnetic wave absorption performance. The preparation of the composite material is as follows: Co and Zn acetate solutions are added into a mixed solution of dimethyl imidazole and CTAB, stirring is carried out at room temperature, a hydrothermal synthesis reaction is carried out on the obtained solution, the synthesized product is washed, dried, and then calcined under Ar / H2 atmosphere, so that the target product is obtained. In the application, the in-situ growth method is used to directly induce the growth of carbon nanotubes on a carbon rod base, the generated carbon nanotubes can form a continuous conductive network, which is beneficial to adjusting the electromagnetic parameters of the material, such as dielectric constant and magnetic permeability, so that effective absorption can be realized in a wider frequency band. The magnetic metal for generating the carbon nanotubes also provides magnetic loss, and the good synergistic effect of the dielectric loss and the magnetic loss of the composite material further improves the wave absorption performance.

The invention provides a lightning stroke transient analysis method and system for a high-voltage power transmission line. The method comprises the following steps: acquiring power transmission line parameters, material electromagnetic parameters and atmosphere lightning stroke channel parameters; acquiring a three-dimensional electromagnetic field partial differential model and performing space-time discretization based on the three-dimensional electromagnetic field partial differential model and a plurality of preset data to acquire electric field intensity, current density and magnetic field intensity; obtaining structural material parameters; acquiring simulation voltage data and simulation current data based on the data and a plurality of preset data; acquiring actually measured data, and calculating a rise time error, a wave crest amplitude error and a high-frequency component amplitude-frequency response error based on the three data; and if the preset convergence condition is met, realizing accurate simulation of the lightning stroke transient process of the high-voltage transmission line. According to the lightning stroke transient analysis method for the high-voltage transmission line, high-precision global simulation can be carried out on the lightning stroke transient process of the high-voltage transmission line, and reliable data support is provided for lightning protection design optimization.

The application relates to the technical field of electromagnetic simulation, in particular to a kind of electromagnetic parameter configurable structure simulation method of ceramic packaging high-voltage direct-current contactor. The method comprises the following steps: obtaining the geometric model of the ceramic packaging high-voltage direct-current contactor, measuring the time interval of the induced current generated by the magnetic ring after the main coil is energized under standard test conditions, and recording it as the induced delay reference value; when the contactor performs each switching action, the time interval between the energization of the main coil and the generation of the induced current in the magnetic ring in this action is monitored in real time, compared with the induced delay reference value, and the deviation degree sequence of each action is obtained; the synchronism of the moving iron core attraction process is judged according to the deviation degree sequence, the expected attraction force value of the moving iron core is reduced when the delay deviation degree increases, and the actual attraction force is generated. The application establishes a performance evaluation system based on induced delay, and converts the originally complex multi-physical field problem into a measurable time parameter.

The application discloses a silicon steel sheet magnetic circuit parameter calculation method in the magnetic circuit theory application field, and the specific process is as follows: S1, the geometric size, electromagnetic parameters and lamination number of the silicon steel sheet are acquired; S2, the frequency and direction of the alternating magnetic flux in the silicon steel sheet are determined; S3, the magnetic circuit parameters of the silicon steel sheet are calculated according to the expression; the calculation method can quickly calculate the magnetic circuit parameters of the silicon steel sheet according to the geometric size, electromagnetic characteristics and lamination number of the silicon steel sheet, in combination with the frequency and direction of the alternating magnetic flux in the silicon steel sheet, draw the high-frequency magnetic circuit characteristics of the silicon steel sheet, and improve the work efficiency of researchers; the operation state of electromagnetic equipment can be evaluated, the behavior of the magnetic quantity in the magnetic circuit can be qualitatively analyzed, and the size of the magnetic circuit parameters can be quantitatively calculated.

The invention relates to the field of monitoring and early warning, in particular to an unsafe behavior monitoring and early warning method and device based on deep learning. The system comprises a wearable monitoring device, a fluid impedance tomography monitoring module and a fluid-structure interaction wave equation inverse solution model. The wearable monitoring device integrates a low-pressure pneumatic flexible network, a magneto-rheological fluid layer and a negative Poisson's ratio auxetic skeleton, collects a pressure pulsation frequency spectrum and electromagnetic parameters in real time, and inverts a normalized stiffness index of a human body contact part by using deep learning; the method is characterized in that magnetic field PWM and air pressure frequency are regulated and controlled in a linkage mode according to a rigidity judgment result, and air pressure pretightening force is used for inducing phase change of magnetorheological fluid and generating high-frequency vibration early warning; according to the invention, the geometric antagonism mechanism of the auxetic skeleton is utilized to ensure the tight fitting of the device and the high fidelity of signals, so that accurate tactile feedback monitoring is realized.

Embodiments of the present disclosure disclose methods, and systems for modelling components with required electrical and magnetic parameters. The system includes a modelling platform, a processing circuitry and a modelling tool. The processing circuitry is configured to receive user inputs including modelling requirement data related to magnetic and electrical parameters of a component. The processing circuitry computes modelling parameters related to the component based on the modelling requirement data and generates modelling data based on the modelling parameters. The modelling tool is configured to access the modelling data from the processing circuitry and fabricate the component based on the modelling data. The component includes a body including a plurality of conductor grooves configured to receive a set of conductors based on a predetermined winding pattern and a cooling structure configured to receive a cooling medium.

This invention discloses a method for designing induced magnetic skyrmions based on geometric structures, specifically including: constructing geometric structures such as ripples, folds, and depressions in two-dimensional magnetic materials to break the central inversion symmetry and induce Dzyaloshinskii-Moriya (DM) interactions, providing conditions for designing topological magnetic structures such as magnetic skyrmions; presenting detailed magnetic parameters of the studied system through first-principles calculations, including Heisenberg exchange coupling, DM interactions, and magnetic anisotropy; and solving for the magnetic ground state under various magnetic interaction competitions based on micromagnetic simulations, including topological magnetic structures such as magnetic skyrmions.

The invention relates to the technical field of nondestructive testing, in particular to a magnetic stress nondestructive testing system. Comprising an excitation device system, a magnetic induction measurement device system, a data acquisition and processing system and a field test system, the excitation device system is used for applying a controllable external magnetic field to the detected pipe section; the magnetic induction measuring device system is arranged in an external magnetic field acting area and at least comprises a main measuring channel and a reference channel, the main measuring channel is used for acquiring a magnetic signal related to the stress of a measured pipe section, and the reference channel is used for acquiring a reference magnetic signal related to temperature drift or device drift. According to the method, the magnetic parameters are subjected to temperature conversion through the force-magnetism-heat coupling constitutive model, so that the temperature influence is no longer an empirical correction term but an observable and decoupled explicit variable, and the system error caused by all-working-condition temperature fluctuation is remarkably reduced.

The invention relates to a method for evaluating electromagnetic parameters of a medium-high-voltage high-frequency transformer. The method comprises the following steps: inputting design parameters and electrical parameters of the high-frequency transformer; establishing a finite element model of the two two-dimensional sections, and performing finite element simulation according to the electrical parameters; primary and secondary side self-inductance parameters and primary and secondary side mutual inductance parameters are obtained based on finite element simulation, and excitation inductance and leakage inductance parameters are solved; sequentially calculating the average leakage magnetic field intensity of the position of each turn of winding based on the leakage magnetic field distribution of the transformer magnetic core window, and further solving the total winding loss of the high-frequency transformer; and obtaining the excitation voltage waveform of the high-frequency transformer based on the electrical parameters, establishing the relationship between the voltage and the magnetic flux density, and solving the iron core loss in combination with the iron core design parameters. According to the method, the electromagnetic parameter evaluation period of the medium-high-voltage high-frequency transformer is remarkably shortened, calculation resource consumption is reduced, powerful support is provided for rapid iterative optimization of a design scheme, and the method has good engineering practical value and popularization and application prospects.

The invention discloses an absorbent electromagnetic parameter prediction method, system and device and a medium, and relates to the technical field of material science. The method comprises the following steps: acquiring to-be-tested data; the to-be-detected data comprises frequency, particle size characteristics and physical inspiration characteristics; constructing an electromagnetic parameter prediction model based on a multi-branch neural network; the multi-branch neural network comprises an input layer, a shared feature extraction layer, a branch layer, a deep connection layer and an output layer which are connected in sequence; inputting the data to be measured into the electromagnetic parameter prediction model, and outputting an electromagnetic parameter prediction result of the absorbent; the electromagnetic parameter prediction result comprises a dielectric constant real part, a dielectric constant imaginary part, a magnetic conductivity real part and a magnetic conductivity imaginary part. The method can improve the prediction accuracy of the electromagnetic parameters of the absorbent.