351results about How to "Guaranteed calculation accuracy" patented technology

The invention relates to the technical field of engineering simulation, and provides a self-adaptive grid generation method and device based on strain energy density error estimation, in the method, error estimation is carried out by utilizing first strain energy density of a model to be analyzed, a first estimation error of the model to be analyzed can be evaluated more accurately, and then grid division is optimized. The to-be-refined region is refined layer by layer, so that the problem of sudden change of the grid can be avoided, the stability and reliability of a simulation result are improved, the region with higher precision requirement in the initial grid can be refined, the unimportant region is kept unchanged, the calculation amount is greatly reduced, and the calculation efficiency is improved while the calculation precision is ensured. The method improves the calculation efficiency, improves the simulation efficiency, reduces the consumption of calculation resources, and achieves the efficient generation and optimization of a target grid.

The invention discloses a three-dimensional finite element simulation method for a complex slope excavation unloading process, which comprises the following steps of: 1) constructing a three-dimensional model of a complex slope, and establishing a finite element grid; 2) inputting boundary conditions of the model and material parameter information of each stratum; 3) calculating and simulating an initial stress field of the slope before excavation; (4) according to the initial stress field, the unloading load of the slope excavation part is calculated; (5) finite element calculation is conducted on stress deformation of the excavated slope; according to the method, the high-precision three-dimensional finite element model is established, various material parameters and actual boundary conditions are combined, the stress change and the unloading effect of the slope in the excavation process are simulated, the stress redistribution in the unloading process is accurately reproduced, the prediction precision of local instability and stress concentration areas is improved, and the prediction accuracy of the slope is improved. Therefore, a scientific basis is provided for safety assessment of slope excavation.

The invention provides a machine learning potential function design method for UO2 and a fission product thereof, and the method comprises the steps: S1, constructing a UO2-Xe / I unit cell with the fission product, and carrying out the optimization of the UO2-Xe / I unit cell; s2, the optimized UO2-Xe / I unit cell structure is disturbed and simulated, and a training data set is generated; s3, establishing a machine learning potential function; s4, performing molecular dynamics simulation on the machine learning potential function; s5, performing density functional theory calculation on the candidate configuration to obtain accurate structure-energy-force data, and repeating the steps S3 to S5 to perform iterative calculation; s6, verifying the trained machine learning potential function to obtain an accurate machine learning potential function; and S7, performing molecular dynamics simulation by using an accurate machine learning potential function. The precise DP model is obtained through machine learning, and a theoretical basis is provided for research of a diffusion mechanism of fission products in UO2 and molecular dynamics simulation of other mechanical properties.

The invention discloses a mechanical structure reliability analysis method and system based on an active learning agent model, and belongs to the technical field of mechanical structure reliability analysis, and the method comprises the steps: analyzing the working condition and load condition of a mechanical structure to be subjected to reliability analysis, and determining a performance function of the mechanical structure in combination with the safety working requirements of the structure; based on the principle of equal probability conversion, the input variables are converted into a standard normal space, and Monte Carlo reliability analysis samples are generated; in a standard normal space, using a center cross method to generate a 4n initial fitting sample, calculating a function value of the sample, obtaining an initial response matrix, and fitting an initial proxy model; and establishing a distance constraint learning function based on the existing agent model and the fitting sample, and iteratively updating the agent model, the fitting sample, the response value matrix and the failure probability in combination with a prior reliable circular ring sample reduction method until a reliability analysis result with enough precision is obtained, and ending the reliability analysis system.

The invention provides a target aircraft carbon emission determination system, and relates to the technical field of aircraft carbon emission determination. The method comprises the steps that the flight duration T of a target aircraft on a target flight path, the take-off weight of the target aircraft and the flight height and the flight speed of the target aircraft in the level flight stage on the target flight path are acquired, and the flight duration T of the target aircraft on the target flight path is calculated according to the model of the target aircraft; determining a carbon emission calculation weight corresponding to the target aircraft from a preset carbon emission calculation weight mapping table so as to determine the carbon emissions of the climbing stage, the level flight stage and the landing stage, and further obtaining the corresponding carbon emission of the target aircraft flying on the target flight path; according to the invention, the determined carbon emission corresponding to the flight of the target aircraft on the target flight path is more accurate.

The invention belongs to the technical field of bridge monitoring, and discloses a multi-point monitoring system and monitoring method for bridge settlement. The monitoring device comprises an optical unit which is used for converging and deflecting received laser beams and imaging on a receiving unit to form light spots; the receiving unit is arranged on one side of the optical unit, and the distance between the receiving unit and the optical unit is larger than two times of the focal length of the optical unit; and the detection unit is used for calculating the displacement of the light spot according to the current position of the light spot on the receiving unit and the position of the light spot on the receiving unit when the laser light source is located at the initial position, and obtaining the settlement of the corresponding monitoring point according to the displacement of the light spot. According to the invention, the problem of inaccurate measurement caused by laser beam divergence in long-distance laser transmission is well solved, the displacement of the light spot on the receiving unit can be multiplied by the displacement of the laser light source, and the measurement precision of the settlement of the bridge monitoring point is improved.

The invention discloses a brick-concrete structure explosion damage reconstruction and visualization method based on deep learning, and the method comprises the steps: obtaining a damage data set of a brick-concrete structure under multi-scene explosion through numerical simulation, and building a training database through data processing and conversion, and building a two-stage brick-concrete structure damage prediction model based on a graph neural network. Error evaluation and parameter optimization are carried out on the model, the prediction capacity of the damage prediction model is improved, and according to node displacement and node stress predicted by the two-stage brick-concrete structure damage prediction model, visualization of the damage effect of the brick-concrete structure under various explosion impacts is achieved. According to the method, the damage results of the shock waves under different equivalents and different explosion positions can be quickly obtained, the explosion damage effect is visualized, and the calculation efficiency is greatly improved while the calculation precision is ensured.

The invention discloses a deep tunnel surrounding rock mechanical parameter inversion method based on a three-dimensional brittle failure zone contour and sparrow optimization algorithm-information vector machine (SSA-IVM) combined optimization algorithm. The engineering technical problem that due to the fact that excavation instantaneous displacement is difficult to monitor, deep tunnel surrounding rock mechanical parameters are difficult to reasonably obtain through displacement back analysis is solved. The method comprises the following steps: firstly, constructing a tunnel FLAC3D numerical simulation model with the same ground stress condition at the occurrence position of a three-dimensional brittle failure zone; secondly, taking an absolute error between the total number of computational grid units in the actually measured brittle failure zone and the total number of computational grid units entering a plastic state in the range of the actually measured brittle failure zone after calculation of the FLAC3D numerical model as an optimization objective function; and then, by taking the tunnel surrounding rock mechanical parameters as optimization variables and taking a target function reaching a global minimum value as a target, performing global optimization by combining a tunnel FLAC3D numerical model and adopting an SSA-IVM joint optimization algorithm, thereby obtaining reasonable tunnel surrounding rock mechanical parameters.

The invention discloses a helicopter rotor system dynamics simulation efficient solving method based on a three-dimensional entity unit, and belongs to the technical field of helicopter rotor system dynamics simulation analysis. Comprising the following steps: dividing a helicopter rotor geometric model into three-dimensional entity finite element models, and endowing unit attributes; and according to the finite element model, dividing co-rotation analysis components, and realizing effective butt joint among the components. Establishing a dynamic differential algebraic equation of the rotor system, and discretizing the dynamic differential algebraic equation; two key items in the efficient solving process are calculated, calculation of iteration increments is completed, and the dynamic time-history response of the rotor system is obtained. According to the thought of a component-level co-rotation coordinate method, extracting the elastic deformation of the rotor component, completing the stress tensor calculation of the rotor structure, and outputting a stress nephogram. According to the method, each iteration step linearized equation set is solved by adopting a Schel complement method, so that the solving efficiency of the large-scale linear equation set is improved; on the premise of keeping high precision, the dynamic simulation analysis of the finite element model of the large-scale rotor system can be efficiently completed.

The invention relates to the technical field of computational fluid mechanics, in particular to a method for calculating the blocking effect of an underwater vehicle towing tank, and the method comprises the steps: building an underwater vehicle physical model; defining each boundary condition of the CFD numerical calculation domain, and solving the total resistance and each resistance component of the underwater vehicle based on the calculation domain grid and the configured numerical calculation condition; and post-processing the total resistance and each resistance component to obtain a calculation numerical result of the underwater vehicle under different blocking ratio working conditions. According to the method, by verifying the independence of the grids, the appropriate number of the grids is determined, and the calculation precision and efficiency are guaranteed.

The invention relates to the fields of wind engineering, weather forecast, environmental protection and aviation, and provides a complex terrain wind field refined simulation method based on a high-resolution grid. The objective of the invention is to solve the problem of simulation errors caused by different topographic data formats and coordinate systems in complex topographic wind field simulation and to improve simulation precision and efficiency. According to the main scheme, the method comprises the following steps: generating a three-dimensional computational grid of wind mine software according to satellite image elevation data, and obtaining a three-dimensional unstructured grid for wind field CFD simulation; selecting a proper entrance boundary condition type for four side boundary surfaces and a top surface of the target area; and wind mine software is driven to carry out numerical calculation to obtain wind field information data of the refined simulation of the complex terrain. The method is used for wind field characteristic evaluation under complex terrains, and is beneficial to efficient utilization of wind energy, weather forecast, environmental protection and aviation safety.

The embodiment of the invention provides a cabin heat sealing and heat management integrated design method and device, equipment and a medium, and the method comprises the steps: carrying out the boundary constraint of an initial input condition of a cabin, and obtaining a boundary condition; based on the boundary conditions, the heat sealing module and the heat management module are coupled through a one-dimensional design tool, so that a cabin heat sealing and heat management integrated design scheme is constructed; the cabin heat sealing and heat management integrated design scheme is input into the three-dimensional model for verification; according to the method, interface influence factors among multiple modules in design are coupled, the problem that a simple idealized boundary is used when the modules are independently designed is solved, each module participates in design in most time, and the problems that in a traditional process, the structure weight cost is large, and the efficiency is low due to the fact that the modules are in a waiting state for a long time are solved.

The strip steel surface defect detection method based on the SE module lightweight network comprises the steps that an existing NEU-CLS hot rolled strip steel surface defect data set is preprocessed, and a defect picture data set is manufactured; randomly extracting 10% of pictures from the defect picture data set as a test set, and dividing the rest of pictures into a training set and a verification set according to a proportion of 8: 2; establishing a lightweight residual network based on a compression excitation module; inputting the training set into a lightweight residual network based on a compression excitation module for training, and verifying the accuracy of the network through the test set; and deploying the trained lightweight residual network based on the compression excitation module to the development board, and acquiring defect pictures in the verification set through a camera of the development board to judge defects to obtain a judgment result.

The invention relates to a generalized carrier rocket trajectory calculation method which comprises the steps that a target orbit and constraint conditions corresponding to the target orbit are set, the target orbit comprises a sun-synchronous orbit or a low-dip-angle orbit, and the constraint conditions at least comprise the geocentric vector diameter, the absolute speed and the flight path angle; input parameters are simplified, wherein the input parameters comprise configuration parameters, mass parameters, pneumatic parameters and engine parameters; and based on the constraint condition of the target orbit, the corresponding control variable and the input parameter, calculating the value of the control variable through a Newton iteration method so as to obtain the trajectory of the carrier rocket. The invention provides a universal carrier rocket trajectory calculation method. The carrying capacity of a carrier rocket is ensured by optimizing a typical target orbit; according to the method, input parameters of trajectory calculation are simplified and carded, the trajectory is obtained through calculation of the Newton iteration method, the adaptability to different configuration schemes is improved on the premise that the calculation accuracy is guaranteed, rapid trajectory iteration calculation can be conducted, and generalization is achieved.

The invention provides a neural network hardware implementation method and system based on an incomplete specified function, and the method comprises the steps: carrying out the quantification of the input data and weight of a neural network, and obtaining a position index of a non-zero weight; traversing the training set, and obtaining a plurality of data sets related to the non-zero weight according to the position index of the non-zero weight based on an incomplete specified function; performing logic minimization on the basis of the plurality of data sets, generating a Boolean logic expression based on an incomplete specified function, and determining a flash memory logic array scale and internal port connection lines according to a cube of the Boolean logic expression and logic variables in the Boolean logic expression; the flash memory logic array is constructed according to the scale of the flash memory logic array and the internal port connecting line, and a peripheral circuit of the flash memory logic array is constructed, and the peripheral circuit is mainly used for processing output data of the flash memory logic array. According to the invention, power consumption and time delay in a neural network hardware implementation process are reduced.

The invention discloses a radial permanent magnet motor multi-objective optimization method and system considering end magnetic flux leakage, and the method comprises the steps: constructing a two-dimensional radial permanent magnet motor model based on a three-dimensional radial permanent magnet motor model, introducing a magnetic conductance coefficient in a main magnetic flux leakage region in the two-dimensional radial permanent magnet motor model, and constructing a two-dimensional equivalent model; determining an optimization target, a design parameter and a value range of the design parameter according to the obtained two-dimensional equivalent model; according to the method, the function of performing multi-objective optimization on the radial permanent magnet motor under the condition of considering the end magnetic flux leakage is realized, and the two-dimensional equivalent model is constructed by iteratively calculating the magnetic conductance coefficient through the radius of each air domain and the division number in the main magnetic flux leakage region, so that the calculation precision is guaranteed; and by adopting comprehensive sensitivity analysis to carry out hierarchical optimization on the design parameters, the problems that the precision of the agent model is reduced and an optimization algorithm is difficult to converge due to a large number of design variables can be solved, the calculation time is shortened, and the method is suitable for being widely popularized and used.

The invention provides a multi-stage gas compressor pneumatic optimization method based on grid deformation, and relates to the field of gas compressors. The method comprises the following steps: performing data processing on a CGNS file of an original geometric flow field grid to obtain coordinates of all grids of the original geometric flow field grid; setting a grid boundary control method for the flow field of the multi-stage gas compressor; the original geometric flow field grid is deformed, and a deformed multi-stage gas compressor flow field grid is obtained; and performing CFD calculation on the basis of the deformed multi-stage compressor flow field grid: if the aerodynamic effect of the compressor reaches a preset target, outputting a geometric figure corresponding to the deformed multi-stage compressor flow field, otherwise, defining the deformed multi-stage compressor flow field grid as an original geometric flow field grid, and repeating deformation until the aerodynamic effect of the compressor reaches the preset target. According to the method, the full-three-dimensional CFD calculation precision is guaranteed, the number of optimized real evaluation samples is reduced, the calculation cost of the optimization iteration process is reduced, and full-three-dimensional rapid pneumatic optimization of the multi-stage gas compressor is achieved.

The invention discloses a method for calculating the earthwork volume of a complex terrain based on Cill 3d software, relates to the technical field of earthwork calculation, and particularly aims to solve the problems that in the background technology, a large amount of time and energy need to be consumed for calculation, and the calculation precision is difficult to guarantee, and provides the method for calculating the earthwork volume of the complex terrain based on the Cill 3d software. According to the method, the three-dimensional digital terrain model of the trench is established based on the powerful function of Civil 3D, then earthwork accounting is carried out, and the working time is greatly shortened on the premise that the calculation accuracy is ensured. The problems existing in the background technology are solved.

The invention relates to the technical field of thermodynamic properties of alloy materials, in particular to a method for calculating vibration free energy based on a bond length-bond stiffness relationship, which comprises the following steps: selecting configurations with the same symmetry according to chemical bond information contained in a crystal structure, uniform stretching or compression deformation is applied to the key body so as to generate key lengths with different lengths; supercells are created for configurations with different key lengths, micro disturbance is applied to atoms with different symmetry in the supercells, and force is calculated; obtaining a force constant matrix between two adjacent atoms according to a force calculation result, and diagonalizing the force constant matrix to obtain tensile bond rigidity and bending bond rigidity; and fitting a key length-key stiffness function according to the tensile key stiffness and the bending key stiffness corresponding to different key lengths to obtain a force constant matrix of all possible key lengths so as to calculate vibration free energy. According to the method, the calculation cost is effectively reduced under the condition that the calculation precision is guaranteed, and a solution is provided for accurately predicting the alloy phase diagram and guiding alloy design.

The invention discloses an efficient transverse control method and system for an automatic driving vehicle and the vehicle, and relates to the technical field of vehicle transverse control, and the method comprises the steps: in the automatic driving process of the vehicle, obtaining the current real-time position information of the vehicle, determining a reference speed, a reference course angle and a reference curvature in combination with a preset reference trajectory, and calculating a current state variable; based on an off-line LQR control gain table, discrete intervals where the reference speed, the reference course angle and the reference curvature are located in respective working ranges are determined, control gains corresponding to the left end point and the right end point of the discrete interval where each reference value is located are determined, and then a control gain interval is determined; according to the positions of the discrete intervals where the reference values are located, control gains are obtained through linear interpolation calculation; according to the control gain corresponding to each reference value and the current state variable, a control law is obtained through calculation, and transverse control is conducted on the vehicle according to the control law. The method can guarantee the calculation precision, improves the calculation speed, and achieves a better transverse control effect.

The invention discloses a three-dimensional rapid forward and reverse modeling method and system for magnetic anomaly of an undulating surface, and belongs to the technical field of geological prospecting. Magnetic anomaly fields of a plurality of horizontal observation surfaces covering the undulating surface are obtained, and according to magnetic field values of space observation grid points on the plurality of horizontal observation surfaces, a local continuation method interpolation algorithm is adopted to calculate the magnetic anomaly of the undulating surface. And obtaining a magnetic anomaly value of the fluctuating surface measuring point. And performing reverse weighting on the magnetic anomaly values of the measuring points of the fluctuating surface to determine a grid point matrix of spatial observation grid points, performing inversion calculation on a magnetic anomaly field by adopting a conjugate gradient algorithm based on a conventional rapid inversion algorithm formula to complete rapid forward and reverse inversion of magnetic anomaly of the fluctuating surface, and realizing local interpolation by adopting an upward continuation algorithm to obtain the magnetic anomaly of the fluctuating surface. The method not only has actual physical significance, but also can keep the interpolation result stable and reliable, effectively ensures the overall calculation precision, and greatly improves the calculation efficiency of the three-dimensional inversion of the magnetic anomaly of the fluctuating surface by fully utilizing the advantage of an anomaly fast algorithm.

The invention relates to a novel noise reduction device aiming at the noise problem in a subway shield tunnel and an evaluation method of the novel noise reduction device. The device is a honeycomb-multilayer composite sound energy absorption device based on a honeycomb structure, the device is composed of a multilayer honeycomb energy absorption pad structure, the reflection frequency of noise entering the absorption pad is greatly increased, and the laying condition of shield tunnel bent duct pieces can be adapted through unitized honeycomb holes. And meanwhile, a vehicle-track-infrastructure vibration noise analysis model containing a fluid domain is established as an evaluation method, so that the noise reduction performance of the device can be evaluated and verified. According to the honeycomb-multilayer composite sound energy absorption device, the porous material with an excellent sound absorption effect is adopted, so that the honeycomb-multilayer composite sound energy absorption device has independent noise reduction capability in structure and material, the composite noise reduction capability is more excellent, the established evaluation method can be suitable for device performance modulation of various scenes, and the evaluation method is suitable for popularization and application. And the method has relatively high universality.

The invention discloses a wheeled vehicle dynamics modeling method and system based on Lie group Lie algebra, and relates to the technical field of vehicle dynamics modeling, and the method comprises the steps: carrying out the simplification processing of a target vehicle system structure, and obtaining a vehicle hinge system; based on the Lie group Lie algebra theory, constructing a speed recursion relation of the system; establishing a dynamic model of each rigid body in the system, and determining a mechanical state quantity recursive relation of the system by taking the kinematics state quantity of each rigid body in the system at the current moment as input; according to the inertia and the bias force of the hinged body, the acceleration recursion relation of the system is calculated through a conversion operator; and according to the speed recursion relation, the mechanical state quantity recursion relation and the acceleration recursion relation of the system, a vehicle recursion mechanical model of the target vehicle system structure is obtained. According to the method, the Lie group Lie algebra is adopted, and the recursive mechanical algorithm is applied to perform dynamic modeling on the wheeled vehicle, so that the calculation precision is ensured, and the solving efficiency of the dynamic model is improved.

The invention provides a method for predicting the vibration response of a far-field building structure caused by subway train operation, and the method comprises the steps: decomposing a subway train-rail-tunnel-stratum-building structure coupling system into a target subsystem and a remaining system, and obtaining a target interface between the target subsystem and the remaining system; the incomplete stratum in the remaining system is recovered to a free site layer not containing the building structure; performing dynamic calculation on the constructed hypothetical free field system to obtain displacement, speed and stress response caused by the subway train operation induced free wave field on the target interface; introducing a viscoelastic artificial boundary at the target interface, and constructing a three-dimensional finite element model; calculating an equivalent excitation load of vibration response caused by the subway train by using free wave field displacement, speed and stress response in combination with viscoelastic artificial boundary parameters; and applying the equivalent excitation load to a viscoelastic artificial boundary of the three-dimensional dynamic finite element model so as to predict the vibration response of the far-field building structure caused by subway train operation.

The invention relates to the technical field of loss reduction optimization of a power distribution network, in particular to a power grid loss reduction method and a power grid loss reduction system considering Lorenna series power flow approximation under data driving, and the method comprises the following steps: converting a line loss optimization task of the power distribution network into an intelligent agent interaction environment; the intelligent agent interaction environment is used for converting a line loss optimization task of the power distribution network into a Markov decision process under a data driving framework; and by adopting the load flow approximation method based on the Loran series, a nonlinear problem in the traditional load flow calculation is converted into a linear problem, so that the calculation complexity is greatly reduced. According to the method, the load flow calculation speed can be remarkably increased on the premise that the calculation precision is guaranteed, and power grid loss reduction optimization can meet the real-time requirement. Especially in a high-permeability distributed new energy access complex power grid, the method can quickly respond to the dynamic change of the power grid state, and effective support is provided for loss reduction optimization in actual operation.

The invention discloses an antenna spherical near-field measurement method based on non-redundant uniform spherical sampling, and particularly relates to the field of antenna measurement. The method comprises the following steps: determining a minimum sampling distance; generating sampling point positions based on a spherical uniform point generation algorithm; measuring the positions of the sampling points, and measuring E theta and E phi of the radiation field of the antenna to be measured corresponding to signals received by the probe respectively; obtaining Ex, Ey and Ez components based on vector transformation; calculating E 'theta and E' phi at equal angle intervals corresponding to the Ex ', Ey' and Ez 'components at equal angle intervals based on a spherical harmonic function; and calculating far-field radiation parameters of the antenna according to equal-interval sampling. According to the technical scheme, the problems that when theta is close to 0 degree or 180 degrees, sampling measurement points in the phi direction are too many, redundant information is generated, and the measurement efficiency is affected are solved, and the measurement time is shortened.

The invention provides a method and a system for measuring pulse width. The method comprises the following steps of: inputting a pulse to be measured into a delay chain; if the pulse to be measured is a negative pulse, directly inputting the pulse to be measured into the delay chain; if the to-be-measured pulse is a positive pulse, inverting the to-be-measured pulse and inputting the to-be-measured pulse into the delay chain; a pulse to be measured is output in a delay chain through a plurality of taps in sequence in a delay manner, and an output signal of each tap of the delay chain is input to the corresponding two-stage D flip-flop; if the to-be-detected pulse output by a certain tap has a negative pulse signal, the corresponding two-stage D trigger outputs a high level; otherwise, outputting a low level; counting the number M of the two stages of D triggers outputting high level, and taking the sum of the reduced widths of negative pulses caused by the delay time of the first M taps on the delay chain propagation path as the width of the negative pulses; wherein M is a positive integer. The pulse compression technology is adopted, the dead time is short, and the resolution ratio is high.

The invention provides a real-time safe distance monitoring method and system for field operation and a storage medium, and the method comprises the following steps: calculating the distance between a field operator and a potential dangerous object or region as a first distance based on a real-time image of the field operation, and executing the subsequent steps if the first distance is smaller than a first set value; otherwise, continuing to calculate the first distance in real time; based on the real-time three-dimensional position data of the field operation, calculating the distance between the field operation personnel and the potential dangerous object or area as a second distance; performing data fusion on the first distance and the second distance to obtain a third distance; if the third distance is smaller than the second set value, alarm operation is executed; otherwise, continuing to calculate the first distance in real time. According to the invention, the technical advantages and advancement of various intelligent detection methods are fully combined, and the safety distance of field operation is effectively monitored in real time.

The invention discloses an auxiliary converter state diagnosis method, device and system and a medium, and the method comprises the steps: obtaining current data detected by a filter inductance input side sensor of a detected auxiliary converter to obtain an inductive current when the detected auxiliary converter is started and an output contactor of the detected auxiliary converter is not closed; acquiring an output voltage detected by an output voltage sensor in the detected auxiliary converter; carrying out fundamental wave extraction on the obtained inductive current by using a second-order generalized integrator to obtain an inductive current fundamental wave; carrying out fundamental wave extraction on the obtained output voltage by using a second-order generalized integrator and calculating a derivative to obtain a fundamental wave guide number of the output voltage; calculating the capacitance value of a capacitor in a filter circuit of the tested auxiliary converter according to the fundamental wave of the inductive current and the base wave guide number of the output voltage; and judging the fault state of the filter circuit capacitor according to the calculated capacitance value of the capacitor. The method has the advantages of simple operation, low cost, high diagnosis efficiency and precision and the like.

The invention discloses an approximate multiplier implementation method for a neural network and an approximate multiplier, and the key points of the technical scheme are that the method comprises the steps: inputting a first operand and a second operand, and splitting the first operand into a low-order part and a high-order part; performing first coding on the low-order part to obtain a plurality of groups of first coding numbers, and performing second coding on the high-order part to obtain a plurality of groups of second coding numbers; assembling the plurality of groups of first coding numbers and the plurality of groups of second coding numbers to form an assembly operand; according to the assembly operand and the second operand, generating a partial product matrix and a truncation error compensation value corresponding to the partial product matrix; based on the partial product matrix and the truncation error compensation value, an approximate multiplication result of the first operand and the second operand is generated, approximate high-base coding and truncation compensation are combined for use, and the performance of an approximate multiplier is greatly improved on the premise that the calculation precision and the final network reasoning precision are guaranteed.