30 results about "Transient waves" patented technology

The invention discloses a welding robot track self-adaptive correction method based on multi-modal data fusion, and particularly relates to the technical field of industrial robots, which comprises the following steps: synchronously acquiring visual three-dimensional point cloud and arc current and voltage transient waveform data in a welding process in real time; an enhanced working trajectory feature vector fusing the visual trajectory features and the arc deviation compensation amount is constructed; respectively calculating real-time confidence coefficients of the visual sense and the arc sensing mode; inputting the confidence coefficient into a weight distribution strategy model, dynamically resolving vision and arc weight coefficients, and when the confidence coefficient of one sensor is low, lifting the weight of the other sensor to dominate correction; performing weighted fusion on the two pose adjustment amounts by using a weight coefficient to generate a six-degree-of-freedom comprehensive trajectory correction amount; and finally, the robot is driven to execute online adaptive trajectory correction. Through a confidence-driven dynamic fusion strategy, the limitation of a single sensor is overcome, and the welding robot trajectory tracking precision and the adaptive capacity are improved.

The invention relates to the technical field of reliability testing of semiconductor power devices, and discloses a short-circuit robustness testing method and system based on grid stress degradation of a silicon carbide device, and the method comprises the steps of pre-testing short circuit, grid stress application and post-testing short circuit are continuously executed under the same physical connection by configuring a coupling testing time sequence. The control unit cooperates with the driving unit to generate a static positive and negative bias and dynamic switch stress mode, and cooperates with the power loop auxiliary switch action to simulate different short circuit faults. A dynamic and static index correlation model is established to quantitatively evaluate robustness by collecting transient waveforms and measuring static parameters and calculating short-circuit energy integral, threshold voltage and drift distance of on resistance. According to the invention, the in-situ test of the aging and short-circuit characteristics of the device is realized, the contact resistance change and the loop parasitic parameter difference caused by the repeated disassembly and assembly of the device in the traditional discrete test are eliminated, and the change of the two short-circuit waveforms completely corresponds to the internal degradation of the device caused by the grid stress.

The invention discloses a grid drive short-circuit protection method based on dV / dt detection, which relates to the technical field of power electronics, and comprises the following steps: constructing a unified time frequency reference baseline, executing all-phase mapping on each power device of a parallel system, reconstructing a conduction sequence, and calculating a phase difference between a voltage rising edge and sampling trigger. Generating a time frequency dislocation matrix, and determining a phase dislocation risk window; and executing causal playback in the phase dislocation risk window, extracting transient waveform characteristics of a voltage rising edge, eliminating parasitic pseudo peaks, obtaining an effective response trajectory, generating a sampling phase check anchor point based on the trajectory, and constructing a phase reference baseline. According to the method, a unified time-frequency baseline and a dynamic sampling mechanism are constructed to realize phase synchronization of sampling and conduction, the sampling rhythm and the turn-off threshold are optimized in combination with feed-forward vibration suppression and residual adjustment, the short circuit identification speed and precision are improved, and the method has self-healing and self-correcting capabilities and is suitable for high-frequency and high-power density scenes.

The invention relates to the field of power system state monitoring, and discloses a power equipment fault diagnosis system suitable for a complex power grid environment, and the system comprises a propagation medium model building unit which is used for dynamically correcting a model through benign transient waves; the transient traveling wave synchronous acquisition unit is used for synchronously acquiring traveling wave data at high precision; the fault positioning unit is used for determining a fault position based on a time difference residual minimization principle; and the fault property and equipment state analysis unit is used for carrying out deep analysis by comparing actually measured and theoretical reflected wave path spectrums and frequency dispersion characteristics. The method comprises the following steps: constructing and dynamically correcting a transient wave propagation medium model; synchronously acquiring transient traveling waves excited by an electrical event; calculating a fault physical position; the propagation characteristics of the transient waves are analyzed to determine fault properties and device states. According to the invention, the electrical asymmetry hidden danger can be identified and positioned by actively injecting the pure-sequence traveling wave probe, and the combination of passive diagnosis and active early warning is realized.

The invention discloses a meshless Galerkin-Newmark method for calculating a transient wave propagation problem. The meshless Galerkin-Newmark method comprises the following steps: dispersing a transient wave propagation problem domain into nodes; selecting an interpolation primary function and a weight function; constructing a node interpolation primary function and a global interpolation format by adopting a moving least square method based on the selected function; based on a global interpolation format, combining a partial differential control equation and a Galerkin weighted residual value method to obtain a transient wave propagation problem system matrix equation; performing time domain discretization through a Newmark time integration method to obtain a discrete time equation; solving the discrete time equation to obtain a numerical calculation result; and analyzing a result and comparing the result with a common method to finish solving and analyzing a transient wave propagation problem. The meshless Galerkin-Newmark method for calculating the transient wave propagation problem has a monotonous consistent convergence characteristic in the numerical calculation of the transient wave propagation problem, and the calculation precision can be continuously improved along with the reduction of the time integral step length.

The application discloses an enhanced mobile least square meshless-Newmark integral method for reducing total dispersion error of transient wave propagation, and belongs to the technical field of numerical analysis and total dispersion error prediction of transient wave propagation, and comprises the following contents: a wave propagation problem domain is discretized into a series of nodes; a standard mobile least square interpolation base function of each node is derived; a local numerical approximation of an enhanced least square algorithm is completed; a global interpolation format of a general scalar field based on the enhanced least square algorithm is constructed; a system matrix equation of the dispersion analysis of the transient wave propagation problem is obtained by adopting a Galerkin weighted residual method and a Newmark time integral method; and based on a given node distribution, the total dispersion error of different calculation methods along different wave propagation directions under different time integral step lengths is calculated. The application adopts the above method, reduces the total dispersion error caused by the coupling of spatial dispersion and time dispersion, and improves the solving precision.

This invention relates to the field of semiconductor device measurement technology, and proposes a method for measuring the nonlinear output junction capacitance of semiconductors based on fitting iteration. This method first constructs a junction capacitance extraction circuit, and then acquires the turn-off transient waveform of the device under test through a test platform. Finally, it uses Fast Fourier Transform to extract the oscillation frequency f. exp Based on the relationship between the oscillation frequency, junction capacitance, and parasitic parameters, the initial junction capacitance C is deduced. oss Subsequently, a hyperbolic tangent function was used for fitting, and the fitting parameters were optimized using the least squares method to obtain the preliminary junction capacitance C under different voltage levels. oss - Test voltage u dc Based on the relationship curve, a simulation circuit for the oscillation frequency was further constructed to obtain the simulation frequency f. m and f m with f exp The fitting curve is compared, and if a deviation exists, the fitting curve is adjusted and iteratively optimized until the error between two adjacent fitting results is lower than the set error threshold, thus obtaining the final accurate junction capacitance C. oss - Test voltage u dc Relationship curve.

The utility model discloses a multifunctional earth screen monitoring device which at least has the following beneficial effects: a power supply module; the control module is connected with the power supply module; the intelligent analysis module is connected with the control module, and the intelligent analysis module is used for obtaining the peak value, the wave head time, the wave tail time and the gradient of the lightning stroke current; and the lightning stroke current detection module is connected with the intelligent analysis module, and the lightning stroke current detection module is arranged on the earth screen main line and is used for obtaining the transient waveform of the lightning stroke current. According to the technical scheme of the embodiment, the lightning stroke type and the corrosion degradation trend of the ground screen can be effectively judged.

The application relates to the technical field of optical element testing, and discloses a fiber connector butt joint position deviation detection method and system. The method first performs physical butt joint on a standard reference jumper fiber, collects a static reference insertion loss value and a transient Fresnel reflection dithering waveform of a butt joint full cycle, extracts an end face structure scattering entropy, and constructs a multi-dimensional optical transmission characteristic reference library; then real-time transient waveforms of on-site butt joint are collected and real-time scattering entropy is calculated, feature matching is performed, decoupling branch determination of end face physical defects and mechanical geometric position deviation is completed, and a to-be-corrected optical link data packet is generated according to the position deviation; finally, a connection point characteristic signal is obtained through iterative deconvolution signal reconstruction, three-dimensional position deviation is analyzed, and a correction instruction is generated to perform closed-loop verification; the application effectively avoids end face damage caused by end face defect misjudgment, and realizes high-precision detection and adaptive correction of butt joint position deviation.

The utility model discloses a selection circuit, an emission power supply and ultrasonic equipment, and solves the problem of different emission current demands in different imaging modes. According to the scheme, in the shear wave imaging mode, the resistance value is small when the shear wave path is conducted, so that large transient wave beam energy is provided for the transmitting circuit; in a conventional imaging mode, such as a conventional PW or Color mode, the resistance value of a conventional path is large, at the moment, relatively small energy is provided for the transmitting circuit, and the transmitting requirement in the conventional imaging mode can be met. In conclusion, through switching of the shear wave path and the conventional path, efficient transmission of appropriate emission current and emission energy in different imaging modes is achieved, the current requirements in the shear wave imaging mode and the conventional imaging mode are met at the same time, and the adaptability and performance of the switching power supply are improved.

The invention discloses a traveling wave / transient state quantity protection method and system for an electric power system and electrical equipment, and terminal equipment. A bypass attenuation effect of a bus stray distribution capacitor on a fault traveling wave / high-frequency transient quantity or a hindering effect of reactance of electrical equipment on the fault traveling wave / high-frequency transient quantity, a refraction and reflection effect of the fault traveling wave / high-frequency transient quantity at a wave impedance discontinuous point and a shunting effect at a branch, and a hindering effect of a wave trapper on a specific frequency band are utilized; the internal relation between the difference value and the average value of the observed values at the two different monitoring points is utilized, the relative gradient or gradient or kurtosis or relative kurtosis or gradient or relative gradient is utilized to calibrate the initial effective action period of the fault traveling wave / transient quantity, and traveling wave / transient quantity protection is constructed. According to the method, the initial effective action period of the fault transient quantity, the effective action period of the fault traveling wave head and the arrival time of the fault traveling wave head are accurately calibrated, and the problem that the arrival time of the traveling wave head cannot be accurately calibrated by traditional transient / traveling wave protection is solved.

The application discloses a kind of generator rotor winding dynamic ground fault multi-modal diagnostic system and method, belong to generator state monitoring and fault diagnosis technical field, in system, leakage current sensing module can collect the transient waveform of rotor winding leakage current to ground;Multi-physical quantity can synchronous acquisition module collects rotor voltage ripple signal and shaft vibration acceleration signal;Ground capacitance online measurement module can be under the working condition of generator rotation, acquisition rotor dynamic ground capacitance value;Signal processing and diagnosis host computer can carry out time-frequency analysis and data fusion to the signal received, construct leakage current-shaft vibration-voltage ripple three-dimensional fault fingerprint matrix, and then realize early fault identification, fault location, fault nature evaluation and rotor winding insulation state classification.The application fuses multi-modal information, resists strong electromagnetic interference, realizes early warning of dynamic ground fault, early identification of dynamic ground fault and accurate positioning and nature identification of insulation deterioration point.

The invention discloses a physical information neural network solving method and system for shaft transient fluctuation pressure. The method comprises the steps that a physical control equation and definite solution conditions are constructed based on fluid dynamics; obtaining training data and normalizing the training data; a physical information neural network with a hard-soft constraint coupling mechanism is constructed, hard constraint compulsively meets an initial boundary value condition through structural transformation, and soft constraint constructs joint loss based on equation residual errors and data errors; introducing an adaptive loss weight and an adaptive activation function configuration model; training the model to convergence by using the data and the joint loss; and inputting to-be-measured coordinates and outputting a pressure field. According to the method, accurate satisfaction of physical boundary conditions is ensured through hard-soft constraint coupling, the capture capability and convergence precision of the model on transient shock wave characteristics are improved by using an adaptive optimization mechanism, effective fusion of a physical mechanism and data is realized, and the calculation efficiency is improved.

The application relates to the field of power system state monitoring, and discloses a power equipment fault diagnosis system suitable for a complex power grid environment, which comprises a propagation medium model construction unit, a transient traveling wave synchronous acquisition unit, a fault positioning unit and a fault property and equipment state analysis unit. The propagation medium model construction unit is used for dynamic correction of a benign transient wave. The transient traveling wave synchronous acquisition unit is used for high-precision synchronous acquisition of traveling wave data. The fault positioning unit is used for determining a fault position based on a time difference residual minimization principle. The fault property and equipment state analysis unit is used for deep analysis by comparing a measured reflection wave path spectrum and a theoretical reflection wave path spectrum and by comparing frequency dispersion characteristics. The method comprises the following steps: constructing and dynamically correcting a transient wave propagation medium model; synchronously acquiring transient traveling waves excited by electrical events; calculating a fault physical position; and analyzing propagation characteristics of the transient traveling waves to determine a fault property and an equipment state. The application can also identify and position electrical asymmetry hidden dangers by actively injecting a pure positive sequence traveling wave probe, and realizes the combination of passive diagnosis and active early warning.

The invention discloses an upper limb exoskeleton intention recognition method and system based on myoelectricity and a neural network. The method comprises the steps that a sensor is used for synchronously collecting an upper limb original myoelectricity signal sequence and an inertial kinematics sequence; performing action phase coarse segmentation by taking the inertial sequence as a reference, calculating an energy sequence by utilizing a nonlinear energy operator, eliminating invalid resting signals in combination with dual-threshold judgment logic, and generating a time sequence characteristic sample sequence through sliding window processing; calculating a root mean square value and an envelope slope feature of each channel to construct a time sequence feature matrix; a causal convolution layer is utilized to extract transient waveform features which only depend on historical information, a time sequence dependency feature is extracted through an LSTM layer, an envelope slope feature is injected into an attention mechanism to enhance the capture capability of an action boundary, and finally contraction, hovering and extension intentions are identified. The problems of electromechanical delay and hovering misjudgment are effectively solved, and the real-time performance and accuracy of exoskeleton control are improved.

The application relates to a laser ultrasonic signal processing method for a double-wave mixing interferometer, which comprises the following steps: acquiring a laser ultrasonic time domain signal received by the double-wave mixing interferometer; performing discrete wavelet decomposition on the laser ultrasonic time domain signal to obtain layer detail coefficients and approximation coefficients; determining adaptive threshold values for the layer detail coefficients based on unbiased risk estimation, and performing smoothing processing on the layer detail coefficients; performing inverse wavelet transformation and reconstruction on the smoothed detail coefficients and the reserved approximation coefficients to obtain a reconstructed signal; constructing a digital band-pass filter with maximum flat characteristics of a passband based on the frequency spectrum distribution of a target ultrasonic characteristic wave to be extracted; and extracting a target ultrasonic characteristic signal by using the digital band-pass filter. The adaptive soft threshold algorithm of wavelet decomposition and unbiased risk estimation can completely eliminate the signal artifacts and additional oscillations of a hard threshold value, and perfectly reserve the weak and key transient wave peaks and amplitude characteristics of an ultrasonic longitudinal wave.

The application discloses a wave front detection system and method based on a pulse camera, and belongs to the technical field of adaptive optics. The system comprises a micro optical unit for dividing an incident wave front into a sub-spot array; a pulse camera, whose photosensitive surface is located at the focal plane of the micro optical unit, for receiving the sub-spot array and outputting spot change information in the form of an asynchronous pulse stream; and a data processing unit for processing the pulse stream in real time, outputting a transient wave front phase through pulse classification, centroid calculation and wave front reconstruction. The application utilizes the high time resolution and asynchronous output characteristics of the pulse camera, can track the high-speed movement of a spot with a precision of microseconds, significantly improves the time resolution and dynamic range of wave front detection, and is suitable for fields such as astronomical observation, high-speed flow imaging, laser communication and the like which require high-frequency and large-aberration measurement.

The application discloses a converter transformer partial discharge online monitoring signal processing method and system, and relates to the technical field of power equipment insulation state online monitoring. The method comprises the following steps: collecting an electromagnetic induction signal, and performing sampling digitization to obtain an original sampling digital stream; establishing a power frequency phase reference to generate a continuous power frequency phase stamp; pre-processing the original sampling digital stream and sending it to a fast and slow double link for parallel digital signal processing; the fast link performs full-rate transient partial discharge waveform capture and commutation dead zone gating; the slow link performs multi-rate statistical feature analysis to generate a phase resolution partial discharge spectrum; and the event waveform frame and the statistical results are output in stages. The application can realize real-time capture of high-fidelity transient waveforms and generation of continuous phase statistical spectrum under a complex time-varying and strong interference electromagnetic environment of a converter transformer, effectively suppress false alarms caused by commutation interference, reduce the pressure on edge processing and communication resources, and is suitable for online monitoring under a complex electromagnetic environment of a converter transformer.

The invention relates to the technical field of device testing, and provides a dynamic testing method for switching characteristics of a power MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor) and related equipment thereof. Static electrical characteristics of a power MOSFET device are tested according to a temperature point set to generate a temperature associated data set, a simulation test is performed according to the temperature associated data set in a double-pulse test mode to obtain a transient waveform data set, and loss energy deconstruction is performed on the transient waveform data set to generate a loss energy time sequence queue. And performing thermoelectric coupling trend change analysis on the temperature associated data set and the loss energy time sequence queue to generate device performance data, and performing power conversion efficiency calculation and boundary exploration on the device performance data according to a performance contour plane format to generate device performance map data. According to the method, temperature dependent parameters are extracted, transient loss is deconstructed through double-pulse simulation, thermoelectric coupling analysis is carried out, a mapping efficiency contour surface is obtained, and accurate prediction of the performance and the limit boundary of the device under all working conditions is achieved.

The invention relates to the technical field of hydropower station automatic control, and discloses a hydropower station governor primary frequency modulation intelligent cooperative control method and system. When the power grid frequency change rate exceeds the limit, dividing the pipe network execution module into an active disturbance group and a pressure following group according to the coupling matrix; the active disturbance group is controlled to act to generate hydraulic transient waves, and the actual water hammer wave velocity and the pipe wall friction resistance coefficient are calculated; generating nonlinear guide vane kinematics trajectory data of the pressure following group on the basis of calculation parameters in combination with a characteristic line method calculation program; the pressure following group is controlled to execute phase shift delay operation and output mechanical power, and the mechanical power and the power of the active disturbance group are synthesized into total active power; and calculating a power tracking residual error and adjusting a control reference. According to the invention, the superposition degree of water hammer waves caused by synchronous action of the units is reduced, reverse power regulation caused by a water hammer effect is weakened, and the stability of primary frequency modulation power output of the whole plant is improved.

The invention provides a GaN small-size charger and a low-noise design method thereof. Belongs to the cross technical field of high-frequency power electronics, electromagnetic compatibility (EMC) and acoustic engineering. The method comprises the following steps: performing switch transient waveform analysis on the circuit topology of the GaN charger to generate transient noise source distribution data; designing a GaN gate drive waveform shaping strategy according to the transient noise source distribution data, and generating optimized drive waveform parameters; dynamically modulating the GaN switching tube based on the optimized driving waveform parameter to generate low-noise switching behavior data; through collaborative design of GaN switch transient shaping, three-dimensional magnetic integration layout, piezoelectric active offset and acoustic metamaterial packaging, the method can reduce audible frequency band noise to below 35dBA while keeping high power density of the charger, and obviously improves mute experience of a user in use.

The application discloses a recovery method, system and device of a charging module under an extreme impact event, and is used for realizing fast recovery of the charging module after the extreme impact event. The method comprises the following steps: collecting a multi-modal transient response spectrum and current operating condition parameters of the charging module in real time when the charging module suffers from the extreme impact event; extracting amplitude characteristics, frequency spectrum energy distribution characteristics and transient waveform singularity characteristics of the multi-modal transient response spectrum, and generating an intensity grade vector; calling a preset reference model according to the intensity grade vector to locate a power unit damaged by the extreme impact event; calculating damage parameters of the power unit, and determining an initial reconstruction plan based on the damage parameters and the current operating condition parameters; simulating, through a preset twin model, recovery of the damage parameters by using the initial reconstruction plan in an environment of the current operating condition parameters, and generating a simulation recovery report; correcting the target reconstruction plan based on the simulation recovery report, and recovering the power unit based on the target reconstruction plan.

The invention relates to the technical field of optical element testing, and discloses an optical fiber connector butt joint position deviation detection method and system.The method comprises the steps that firstly, physical butt joint is carried out on a standard reference jumper fiber, and a static reference insertion loss value and a transient Fresnel reflection jitter waveform of a full butt joint period are collected; extracting an end face structure scattering entropy and constructing a multi-dimensional optical transmission feature reference library; then collecting real-time transient waveforms of field docking and calculating real-time scattering entropy, completing decoupling branch judgment of end face physical defects and mechanical geometric position deviation through feature matching, and generating a to-be-corrected optical link data packet for the position deviation; and finally, obtaining a connection point characteristic signal through iterative deconvolution signal reconstruction, analyzing the three-dimensional position deviation, and generating a correction instruction to execute closed-loop verification. According to the method, end face damage caused by misjudgment of end face defects is effectively avoided, and high-precision detection and self-adaptive correction of butt joint position deviation are achieved.

This invention discloses a method for current fingerprint extraction and device localization based on spin-orbit coupled magnetic sensing, comprising the following steps: S1: real-time acquisition of a three-dimensional magnetic field vector time series signal around the area to be measured; S2: generation of a three-dimensional enhanced current fingerprint vector containing spectral features, transient waveforms, and spatial vector information; S3: signal decoupling and spatial position inversion of multiple current sources in the mixed magnetic field signal to obtain the physical coordinates of each current source; and S4: matching the extracted three-dimensional enhanced current fingerprint vector with a pre-established device current fingerprint database. This invention's method for current fingerprint extraction and device localization based on spin-orbit coupled magnetic sensing solves the problems of insufficient sensitivity, inability to locate devices of the same model, and high deployment costs associated with traditional technologies.

The present application relates to the technical field of new energy wind and light storage combined power generation centralized control operation monitoring and fault diagnosis, and particularly relates to a centralized control center wind power photovoltaic energy storage operation monitoring method and system, comprising obtaining a high-dimensional space-time transient feature tensor flow encapsulating absolute time, spatial coordinates and transient wavelet coefficients; using a physical information neural network to perform extrapolation to complete blank intervals according to the absolute time, outputting a dynamic space-time continuous manifold; constructing a neural graph network according to the spatial coordinates to calculate the residence time, applying a translation to the continuous manifold to output a double-compensation phase diagram; using a cross-mapping algorithm to calculate the score of a grid-connected node in the compensation phase diagram, establishing a directed acyclic graph to lock the source root cause node; inputting the directed acyclic graph into a deep strategy network to output a cooperative instruction and issuing it to the grid-connected node to suppress transient fluctuations. The present application solves the problem of cause and effect inversion misjudgment in fault root cause analysis and invalidation of cooperative scheduling strategy caused by out-of-order bottom layer space-time coupling data.

This application discloses a sensor data compression method, an industrial Internet of Things (IIoT) system, and equipment, relating to the technical field of IIoT. The method includes: decomposing the original time-domain signal to obtain corresponding low-frequency sub-band signals and high-frequency sub-band signals; selecting at least two low-frequency sub-band signals generated by the same physical state process from different sensors, and choosing one as a reference state component; calculating long-term global correlation parameters between the reference state component and each non-reference state component; detecting and extracting transient waveforms triggered by physical events from the high-frequency sub-band signals of each sensor; determining and associating transient waveforms detected within a preset time tolerance window as originating from the same physical event; selecting one of the at least two associated transient waveforms as a reference event waveform; and calculating event-level correlation parameters between the reference event waveform and each non-reference event waveform. This application improves compression efficiency.

The present application relates to the technical field of automatic control of hydropower stations, and discloses a method and system for intelligent collaborative control of primary frequency modulation of a hydropower station governor, which comprises constructing a full-plant hydraulic coupling matrix according to pipe network parameters; when the rate of change of power grid frequency exceeds the limit, the pipe network execution module is divided into an active disturbance group and a pressure following group according to the coupling matrix; the active disturbance group is controlled to act to generate a hydraulic transient wave, and the actual water hammer wave speed and pipe wall friction coefficient are calculated; based on the calculated parameters and a characteristic line method calculation program, nonlinear guide vane kinematic trajectory data of the pressure following group are generated; the pressure following group is controlled to perform a phase shift delay operation and output mechanical power, and the total active power is synthesized with the power of the active disturbance group; power tracking residuals are calculated and control references are adjusted. The present application reduces the superposition degree of water hammer waves caused by synchronous action of the unit, weakens power counter-regulation caused by the water hammer effect, and improves the stability of the full-plant primary frequency modulation power output.

The application discloses a multi-dimensional dynamic test system and method for SiC device high-frequency gate oxide reliability, which comprises a dynamic stress driving unit, a multi-dimensional feature extraction unit, a test interface unit and a closed-loop thermal management unit. The dynamic stress driving unit simultaneously applies a high-frequency switching driving signal and a test bias voltage to the measured SiC device, and establishes a composite test working condition containing dynamic switching stress and static electric field stress. The multi-dimensional feature extraction unit comprises a dynamic waveform analysis module and a junction temperature reconstruction module. The dynamic waveform analysis module extracts the switching transient waveform edge features in real time and compares them cycle by cycle, and outputs a degradation early warning when the threshold is exceeded. The junction temperature reconstruction module extracts the temperature-sensitive electrical parameters to calculate the compensated junction temperature which is not affected by the aging of the leakage current. The closed-loop thermal management unit adjusts the cooling power in real time according to the junction temperature deviation. The application reproduces multiple degradation incentives of SiC devices under actual high-frequency working conditions, and realizes higher sensitivity of gate oxide degradation online monitoring.

The invention discloses an energy device single-particle burning pulse measurement system and method, and belongs to the technical field of anti-radiation effect test and reinforcement of energy devices. The system is composed of femtosecond pulse laser equipment, a three-dimensional mobile platform, a probe station, an energy device, a direct current bias power supply, a bias and sampling network and a data acquisition module. By arranging a three-terminal current sampling branch and a drain voltage sampling branch, the system can synchronously acquire multi-parameter transient waveforms under the same trigger. According to the system design, it is ensured that real bias is kept, meanwhile, transient current is prevented from being recharged to the direct-current bias power supply, and therefore the test safety is improved, and high-fidelity transient waveform data are provided. The system has high measurement bandwidth and low distortion, can accurately measure the single-particle burning transient behavior of the energy device, and is suitable for single-particle burning mechanism research and anti-radiation evaluation of multiple types of energy devices.