143 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 fault detection method, device and equipment for a direct current transformer with variable magnetic flux density, and the method comprises the steps: obtaining a magnetic field recovery curve family through gradient pulse excitation, and extracting a characteristic spectrum which reflects the fatigue degree of an iron core; separating fast and slow recovery components by using a time scale decomposition technology, calculating a scale coupling factor and establishing a dynamic health reference; a hysteresis critical point is positioned by adopting a bidirectional approximation test, and a fault precursor is identified from hysteresis width parameters; extracting an intersection point position through curve family cross analysis, constructing an angle field, calculating an angle sequence, and quantifying a fault development speed; designing a self-adaptive excitation scheme based on the development speed, and identifying a fault resonance mode from the chaotic transition features; a multi-resolution space fault distribution diagram is generated through phase space trajectory deviation degree analysis; spatial distribution and time sequence evolution information are fused to calculate a comprehensive fault index, four-stage classification diagnosis is realized, and a complete mutual inductor fault detection technical scheme from early warning to accurate positioning is formed.

The invention provides a multi-area temperature collaborative management method and system for a high-low temperature all-in-one machine. According to the method, the temperature gradient data of each temperature region and the thermal imaging data of the surface of the non-uniform material are collected in real time, and the recognition of the abnormal region of the heat conduction path is combined, so that the heat transfer lag characteristics of the material are extracted, and the region thermal inertia compensation coefficient map is generated. An infrared reflectivity distribution matrix is further constructed according to the dynamic change trend of the atlas, and the infrared reflectivity of each area is adjusted to optimize the distribution parameters of the heat absorptivity. And finally, carrying out spatial correlation on the thermal response delay evolution path and the thermal absorption rate parameter to generate a multi-region collaborative temperature regulation and control instruction. Through thermal inertia compensation and thermal absorption rate dynamic adjustment, accurate matching and dynamic balance control of a multi-region temperature field of the non-uniform material are realized. The efficiency and precision of multi-area temperature collaborative management of the high and low temperature all-in-one machine can be improved.

The invention discloses a nonlinear correction method, device and equipment for excitation characteristics of a mutual inductor, and particularly relates to the technical field of mutual inductors. The method comprises the following steps: acquiring original data corresponding to a mutual inductor, wherein the original data comprises an original current signal, historical magnetic flux and distributed temperature data; performing noise reduction processing on the original current signal to obtain a purified current signal, and determining a magnetic conductivity correction coefficient and a temperature gradient according to the distributed temperature data; inputting the purification current signal and the magnetic conductivity correction coefficient into a hysteresis model to obtain a real-time magnetic flux, and inputting the purification current signal, the distributed temperature data, the temperature gradient and the historical magnetic flux into a magnetic flux correction network to obtain a magnetic flux correction value; and compensating the real-time magnetic flux according to the magnetic flux correction value to obtain a corrected magnetic flux result of the mutual inductor. According to the invention, multi-physical field fusion input can be realized, transient response can be improved, harmonic distortion compensation can be carried out, and high precision of data can be maintained.

The invention discloses a complex magnetic field excitation-oriented electrical steel dynamic magnetic field intensity calculation method, which comprises the following steps of: firstly, performing infinite interpolation expansion on the basis of a small number of actually measured symmetric hysteresis loops to reduce the experimental data volume required by static Preisach hysteresis model identification; an improved dynamic modeling method is provided, model parameters related to the magnetization rotation point and the magnetic bias quantity are introduced, and the method has higher adaptability compared with a traditional model under complex excitation. An improved particle swarm optimization algorithm is adopted to optimize parameters in the dynamic Preisach hysteresis model, a population eradication and loop initialization mechanism is introduced into the improved particle swarm optimization algorithm, the optimization precision is obviously improved compared with that of a classical particle swarm algorithm, and more efficient model parameter identification and more accurate dynamic hysteresis loop simulation are achieved; based on electrical steel hysteresis loop test data under various excitation conditions, it is more comprehensively verified that the provided modeling method and parameter optimization algorithm have better comprehensive performance.

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 relates to the technical field of material magnetostriction, and discloses a hysteresis and magnetostriction strain simulation method and system for a ferromagnetic material. The non-hysteresis magnetization intensity of the ferromagnetic material is determined by utilizing the magnetization energy of the magnetic moments distributed in all directions on the ferromagnetic material in the magnetic field direction and the total free energy in the magnetic domain, and the magnetic energy density of the ferromagnetic material under the non-hysteresis magnetization intensity is determined according to the non-hysteresis magnetization intensity. According to the principle that the internal energy is minimum when the ferromagnetic material reaches mechanical balance, hysteresis and magnetostriction strain models corresponding to the ferromagnetic material under the condition that stress is applied or not are determined according to the magnetic energy density, so that the accuracy of hysteresis and magnetostriction strain simulation is effectively improved; and the simulation analysis of hysteresis and magnetostriction characteristics is more accurate and diversified.

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 belongs to the technical field of soil temperature inversion, and relates to a soil temperature inversion method and system considering a hysteresis effect and feature importance. Constructing a basic input data set of the to-be-inverted region; constructing a lag structure input set of the multi-source driving variables, and generating a plurality of input variables of time-lag versions; evaluating the feature importance degree of each input variable; screening a dominant variable set; reconstructing a final input set, and training to obtain an optimized soil temperature inversion model; obtaining a soil temperature estimation result of the target area at the target moment; and performing precision evaluation on the optimized soil temperature inversion model by using verification data, and adjusting a lag structure of an input variable. According to the invention, by introducing an input mechanism of a lagging structure, the inversion precision is significantly improved; a feature importance evaluation mechanism is introduced, key variables are dynamically selected as input features, efficient modeling is realized in a variable limited scene, and the flexibility and generalization ability of the model under different earth surface types and meteorological conditions are 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.

The invention provides a transformer dynamic thermal field prediction and active cooling control method based on digital twinning, and relates to the technical field of intelligent control of power equipment. Comprising the following steps: extracting key parameters of a to-be-tested transformer, and simplifying a three-dimensional coil structure into a two-dimensional axisymmetric rotation model according to the key parameters; setting calculated excitation, boundary conditions and calculation frequency for the two-dimensional axisymmetric rotation model so as to carry out magnetic field calculation to obtain a corresponding ohmic loss value; fitting the corresponding ohmic loss values into a temperature-related function to obtain a loss temperature function; determining a training set for constructing a digital twinborn model according to the loss temperature function and the input parameters; constructing a digital twinborn model according to the training set; and carrying out transformer temperature prediction and regulation and control by using the digital twin model. The problems that in the prior art, a traditional temperature measurement means has hysteresis in recognition of hidden hot spots, and advanced suppression of thermal risks cannot be achieved are solved.

The invention discloses a detection method of a peep-proof light guide plate and related equipment. The detection method comprises the following steps: writing a self-disappearing phase grid on the surface of a base material through roller coating of a photosensitive phase change coating; on the basis of the phase reference, carrying out same-grid-point superposition processing on a guided-mode resonance spectrum in a laser etching process to obtain dynamic data of the depth and the inclination angle of the microprism; the iron-gallium alloy nano-wire network is used for capturing stress distribution and executing time-space synchronous mapping with a thermal radiation gray field; performing topology persistent coherence dimension reduction modeling on the multi-physics field coupling data to generate a dynamic privacy view field distribution diagram; and performing regional fine adjustment control on the process parameters and triggering a phase grid elimination reaction. According to the scheme, real-time monitoring and accurate control of the whole manufacturing process of the peep-proof light guide plate can be achieved, direct association between technological parameter fluctuation and final optical performance in the microstructure forming process is established, the hysteresis problem of traditional off-line detection is solved, the product yield and performance stability are remarkably improved, and meanwhile material and energy waste is reduced.

The invention discloses a nonlinear permanent magnet hysteresis loop description method based on magnetic domain energy minimization. The method comprises the following steps: step 1, forming a state equation by using total energy obtained by adding magnetic domain energy of six magnetic domains along easy axis directions of different crystals in permanent magnet crystal grains; 2, the minimum value of magnetic domain energy is solved, and then the optimal direction of each magnetic domain unit magnetization vector in the crystal grains is obtained; and step 3, describing a magnetic domain occurrence probability by using a Boltzmann function, and determining a Preisach model distribution function by using a probability density function so as to obtain a macroscopic hysteresis characteristic. According to the method, micro-magnetic microcosmic characterization and macroscopic magnetic performance are associated from a micromechanism, a magnetization curve of a nonlinear permanent magnet can be accurately established, and the method has an important supporting effect on research work such as electromagnetic multi-physics field simulation and the like.

The invention discloses a method for monitoring the state of a micro-plasma arc fuse wire through vision-magnetic field low-frame common-frequency, and mainly solves the problems of high equipment cost and low efficiency in traditional arc additive manufacturing monitoring. Due to the fact that the time and the area of unstable metal transition in the wire fusing process are uncertain, only whole-course covering type monitoring can be achieved, mass data can be generated, and hysteresis exists. The method is technically characterized in that the shooting frame rate of a camera and the change frequency of a magnetic field are cooperatively controlled to monitor the metal transition state under the control of the magnetic field, a metal transition mode is recognized by shooting a small number of local area images, the magnetic field is dynamically adjusted according to the metal transition mode, and the shooting frame rate is correspondingly changed. According to the invention, the monitoring range is reduced from the fundamental principle, the data processing difficulty is reduced, the adjustment real-time performance is improved, and the low-cost and high-efficiency monitoring of the micro-plasma arc fuse wire additive process is realized.

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.

Embodiments of the present disclosure provide a demagnetization device and a demagnetization method for a Hall current sensor. The demagnetization device includes a reference sensor and a signal processing unit. When the magnetic field signal corresponding to the primary current flowing through the primary current bus collected by the reference sensor is zero and the magnetic flux of the magnetic core component detected by the Hall chip is non-zero under the condition that the primary current bus is powered off, the signal processing unit generates a demagnetization signal with a decreasing amplitude and alternating positive and negative directions and applies the demagnetization signal to the primary current bus, so that the hysteresis magnetic field of the magnetic core component gradually decreases until it becomes zero to achieve demagnetization. Compared with related demagnetization technologies such as heating demagnetization or applying a reverse magnetic field, it has the advantages of simple structure, convenient operation, and good demagnetization effect.

The embodiment of the invention provides a fault current control method and device of a magnetic flux controllable reactor, equipment and a medium, and relates to the technical field of electric power. The method comprises the steps that primary side current and secondary side current of the magnetic flux controllable reactor are detected in real time, when it is determined that system current is unstable according to the primary side current and the secondary side current, target parameters are determined according to the primary side current, the secondary side current and an implicit function of the primary side current and the secondary side current of the magnetic flux controllable reactor, and the target parameters are variable parameters in the implicit function; and the implicit function represents a mathematical relationship between the primary side current and the secondary side current of the magnetic flux controllable reactor. And determining target delay time corresponding to the target parameter according to a mapping relation between the target parameter and the delay time. And finally, configuring the target delay time as the delay time of the magnetic flux controllable reactor. By means of the method, the problem that the fault current stability control effect is not ideal due to the fact that a lag angle exists between the primary side current and the secondary side current of the magnetic flux controllable reactor 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.