85 results about "Linear fitting" patented technology

The present application relates to a kind of GH4706 alloy long time heat exposure organizational performance evaluation method, belong to high-temperature alloy performance evaluation technical field, solve the problem of not comprehensive of the performance evaluation of alloy by existing method.The method includes selecting alloy forge piece to carry out long term heat exposure test, obtains its organizational performance data and / or organizational parameter under different temperature and different heat exposure time, forms measured data set;Establish the relationship p=T(lgt+C) / 1000 between time-temperature uniform parameter and heat exposure time and heat exposure temperature, formula is substituted into by experimental data and different C value, calculate p;Through linear fitting, establish the preliminary fitting model between p and organizational performance data and / or organizational parameter;Determine the best C value;Establish the final fitting model between p and organizational performance data and / or organizational parameter;The equivalence of model is verified using p value, and performance is evaluated using final fitting model.The method of the present application is comprehensive to the performance evaluation of alloy.

This invention provides a method for identifying noise intervals in pulsed eddy current (PDC) detection signals, belonging to the field of nondestructive testing (NDT) technology. It can at least partially solve the problems of reduced signal-to-noise ratio and the impact of noise data on the accuracy of quantitative analysis in the later stages of PDC detection. Based on the magnetic field attenuation rate signal acquired during PDC detection, the method performs a logarithmic transformation on the signal amplitude, then performs inverse linear fitting starting from the last sampling time corresponding to the signal, calculating the slope sequence point by point, and applying multi-level mean filtering to the slope sequence. By determining the time position at which the smoothed slope sequence first reaches or crosses a preset threshold, the starting position of the invalid signal interval, dominated by noise, is determined. Using the identification results, invalid signal intervals can be removed from subsequent data processing, thereby improving the stability and reliability of PDC detection in the detection of clad metal structures.

This invention belongs to the field of numerical electromagnetic field solution, specifically a mesh adaptive method based on reconstructive posterior error estimation. The invention first performs finite element modeling of the target microwave component, introducing boundary conditions and excitations to establish a corresponding electromagnetic simulation model. Then, a tetrahedral mesh is used to divide the solution domain, and finite element electromagnetic simulation analysis is performed on the model to calculate the electric field at the centroid of the four faces of the tetrahedral mesh. The least squares principle is then used to refit the electric field on the tetrahedral mesh to reconstruct a first-order linear fitting expression. Next, the reconstructed solution at the nodes is calculated using the reconstructed fitting expression, and posterior error estimation is performed based on the electric field at the nodes. Finally, the mesh is refined according to the error on the tetrahedral mesh, and finite element electromagnetic simulation analysis is performed again until the finite element solution meets the accuracy requirements. This invention has the advantages of simple engineering implementation, low computational cost, and high universality.

The invention relates to the technical field of automobile dies, solves the problem that the manufacturing difficulty is influenced by mostly neglected physical characteristics such as die structural strength and process complexity in the prior art, and particularly relates to a die C value calculation method based on multi-dimensional data. According to the method, a calculation strategy set comprising a general strategy, a high-order strategy and a cost control strategy is constructed, a current calculation strategy is determined, basic data of a target mold is obtained and preprocessed, a standard feature vector is constructed, and corresponding operation is executed in a standard database based on the preprocessed basic data so as to obtain a corresponding basic correction coefficient. According to the method, nonlinear fitting of the influence of the physical specification and the structural difficulty of the mold on the manufacturing cost is realized, the accurate correction coefficient can be automatically matched according to the specific attribute of the mold, and the subjective randomness of artificial experience estimation is eliminated, so that the final C value can reflect the actual consumption of the automobile mold in the manufacturing process more truly and objectively.

The application discloses an adiabatic accelerating calorimetry method with fast reaction heat loss correction. The application realizes more accurate calculation of sample reaction kinetics and thermodynamics by compensating the convection and conduction heat loss in the fast reaction stage; differential equations are derived and solved from the perspective of heat balance by using heat transfer analysis; a new heat loss calibration mode is added, the HWS heating stage is divided into two parts, the convection heat loss coefficient is calibrated by tracking the reaction system temperature by controlling the cover temperature in the first part, and the conduction heat loss coefficient is calibrated by controlling the constant temperature of the furnace body in the second part; the linear fitting and interpolation method are used to solve the relationship between the heat loss coefficient and the temperature in the reaction process; and finally, the heat loss in the reaction process is integrated to compensate the sample heat release. The application improves the accuracy and reliability of the solution of thermodynamic and kinetic parameters.

The application discloses a kind of hysteresis reference window sliding window adaptive threshold surge detection system and method, belong to aero-engine surge detection field.The method includes: real-time acquisition aero-engine pressure sensor output analog voltage signal, and carry out partial pressure, filtering and analog-digital conversion, obtain discrete sampling sequence;With sliding window intercept analysis window and carry out linear fitting, calculate its slope and residual standard deviation;Established by historical analysis window eigenvalue, with current window maintains hysteresis distance reference window;Based on the statistics of eigenvalue sequence in reference window, dynamically calculate adaptive threshold;By comparing current window eigenvalue with threshold value, and when the eigenvalue of continuous multiple windows exceeds threshold value, determine surge.The detection scheme provided by the application significantly reduces the amount of calculation through local window processing and dynamic threshold adjustment, solves the problem that existing algorithms are difficult to be deployed in real time in embedded hardware, and improves the detection accuracy and working condition adaptability.

This application discloses a temperature curve fitting algorithm, including the following steps: (1) preheating temperature control and feature extraction; (2) constant power curve fitting; (3) volume estimation; (4) anomaly handling. The temperature curve fitting algorithm of this application stabilizes to 50℃±3℃ within 10 minutes, and mines the temperature data features of the preheating stage through sliding residual trend analysis, capturing the weak heat capacity influence of small-volume insects in advance, and providing a sensitivity marker for the slope extraction in the subsequent constant power stage; the fitting mode is automatically switched by the slope reduction threshold, which not only retains the accurate extraction of the core slope in the stable segment, but also avoids the fitting distortion in the slowing segment; the fitting benchmark is dynamically corrected by h, rather than relying on a fixed insect-free curve, which effectively offsets the heat dissipation difference interference caused by room temperature fluctuations; when the heat dissipation coefficient estimation is abnormal, it is automatically downgraded to a linear fitting benchmark, and when historical data is insufficient, a backup formula is called to ensure that effective results can still be output under extreme scenarios such as sensor fluctuations and data loss.

A method for obtaining a processing path of a workpiece includes: collecting data of the workpiece to obtain a target workpiece point cloud; taking a data point in the target workpiece point cloud whose curvature is greater than a curvature threshold as an initial path point; calculating a target feature of the initial path point based on a normal vector of each initial path point, and if the target feature of the initial path point meets a set condition, taking the initial path point as a target path point; extracting a skeleton line from at least one path point cloud aggregated by target path points; and performing linear fitting on the skeleton line to obtain the processing path of the workpiece.

The application provides a regional crop yield estimation method, system, device and storage medium, adopts a random forest model to simulate the yield of crops in a region, calibrates the model error based on a rotation correction algorithm, and predicts the yield of crops in the region through the random forest model after correction. The rotation correction algorithm can effectively calibrate the general error of the existing crop yield estimation model in the high / low yield area. Compared with the existing error regression correction algorithm and machine learning correction algorithm, the rotation correction algorithm further corrects the error regression model of linear fitting to improve the correction effect in the low / high value area. Compared with superimposing a machine learning error correction model, the rotation correction algorithm has stronger generalization ability, avoids overfitting phenomenon caused by using a too complex machine learning model during training, and has better correction effect and wider applicability.

This application discloses a method for predicting the mechanical properties of PBT elastomers during the curing process. The method includes: Step S1: Measuring the tensile mechanical property parameters of the PBT elastomer under varying curing temperature and time; Step S2: Plotting evolution curves at different curing temperatures with the tensile mechanical property parameters as the vertical axis and curing time as the horizontal axis, performing linear fitting to obtain the linear fitting coefficient K and linear fitting coefficient b between the tensile mechanical property parameters and curing time; Step S3: Plotting evolution curves with the linear fitting coefficient K and linear fitting coefficient b as the vertical axis and curing temperature as the horizontal axis, performing linear fitting to obtain the linear fitting coefficient A between the linear fitting coefficient K and curing temperature. K and linear fitting coefficient B K And the linear fitting coefficient b and the linear fitting coefficient A of curing temperature b and linear fitting coefficient B b This application provides a predictive model for the mechanical properties of PBT elastomers during the curing process, effectively shortening the experimental cycle and reducing costs.

This application belongs to the field of fracture toughness testing under corrosive environments, and specifically discloses a method for calibrating the stress intensity factor loading rate in fracture toughness testing under corrosive environments. The method includes: preparing a specimen and creating a pre-crack; using a corrosive solution to create a pre-corrosive environment at the crack tip; establishing a corrosive environment on a testing machine and performing a three-point bending test on the specimen in the corrosive environment at a preset testing machine loading rate to obtain the specimen's yield strength; loading the specimen in the corrosive environment using multiple different testing machine loading rates to 60%-90% of the yield strength, and recording the force-time curves for each loading; calculating the corresponding stress intensity factor loading rate based on the force-time curves and performing linear fitting to obtain the corresponding functional relationship. This application solves the problem that when conducting fracture toughness testing under corrosive environments, it is impossible to directly set the stress intensity factor loading rate, and existing calibration methods cannot accurately reflect the coupling effect of the corrosive environment.

The application discloses a method for calculating DC bias intrusion current based on even harmonic absolute content, which comprises the following steps: establishing a magnetic flux-current relationship curve according to no-load test data; establishing an excitation current even harmonic and a reference data group based on the magnetic flux-current relationship curve; performing linear fitting on the excitation current even harmonic and the reference data group by using a support vector machine algorithm to form a DC bias intrusion current-even harmonic sum relationship function; analyzing actual recording data collected on site to obtain actual even harmonic sum of the recording data; and bringing the actual even harmonic sum into the DC bias intrusion current-even harmonic sum relationship function to obtain a quantitative result of the DC bias intrusion current of the recording data.

The present application relates to the technical field of materials, and relates to a method for automatically solving the elastic modulus of a metal material under dynamic tension. Engineering stress-engineering strain data of a target metal material under dynamic tension are obtained and preprocessed. Based on the mechanical properties of the material, an engineering strain analysis range is determined. According to the engineering strain analysis range, elastic modulus analysis data are determined from the engineering stress-engineering strain data. Based on the elastic modulus analysis data, linear fitting is performed to determine a first fitting curve. Based on the elastic modulus analysis data and the first fitting curve, the engineering strain analysis range of the target metal material is redetermined. Based on the redetermined engineering strain analysis range, linear fitting is performed to determine a second fitting curve. The slope error between the first fitting curve and the second fitting curve is determined, and in the case where the slope error meets a preset error value, the slope of the second fitting curve is taken as the elastic modulus of the target metal material.

The application relates to a water-cooled damping resistor life prediction method for a converter valve, which comprises the following steps: S01: preparing samples and collecting aging data of the water-cooled damping resistor at different preset time points under each temperature; S02: obtaining a plurality of nonlinear fitting relationship formulas by using the collected aging data; S03: determining the life end point of the water-cooled damping resistor, and inversely calculating the life end value at multiple temperature points by using the nonlinear fitting formula; S04: obtaining a life prediction model by nonlinearly fitting the life end values at the multiple temperature points based on an Arrhenius equation; S05: optimizing parameters of the life prediction model to obtain optimal fitting coefficients; and S06: using the life prediction model with the optimal fitting coefficients as an optimal life prediction model. The application can accurately predict the life of the water-cooled damping resistor, and greatly improves the safe application of the water-cooled damping resistor in actual life.

This invention relates to the field of oil and gas exploration and development, and discloses a method for identifying grouting depth. The method includes: acquiring measured values ​​of the target drilling depth and the target hook load, where each measured value of the target drilling depth corresponds to a measured value of the target hook load; using a preset number of target samples as the length of a sliding window; calculating the mean value of each measured value of the target hook load within the sliding window; obtaining the mean value of the target hook load within the sliding window at different positions; performing linear fitting using the measured values ​​of the target drilling depth and the mean value of the target hook load to obtain a depth-hook load function; calculating the measured value of the target drilling depth corresponding to the peak point of the target hook load in the depth-hook load function; identifying the peak point of the target hook load through the curve between the target drilling depth and the target hook load; and determining the measured value of the target drilling depth corresponding to the peak point as the grouting depth.

This invention relates to the field of pattern recognition technology, specifically to a method and system for identifying the state of porcelain insulators. The method includes the following steps: collecting pixel features from the surface of the porcelain insulator, screening and establishing a bright coordinate sequence, extracting a set of stripe center points, linearly fitting the horizontal and vertical coordinates to generate an ideal projection reference, comparing the deviation span with the damage boundary, locating surface defects, and obtaining the identification result. In this invention, by screening pixel features according to a set boundary to establish a bright coordinate sequence, integrating the sequence to extract a set of stripe center point coordinates, performing linear fitting on the horizontal and vertical coordinates of the center points to generate an ideal stripe projection reference, comparing the deviation span of each coordinate from the reference, and filtering out two-dimensional row and column coordinates exceeding the judgment limit, the comparison mechanism of directly constructing an ideal projection reference from the bright feature structure of the porcelain insulator effectively avoids external background interference and the drawbacks of overall texture averaging, enhancing the sensitivity of porcelain insulator state identification and achieving accurate location of the actual distribution of surface defects.

The present application relates to the field of oil and gas engineering, especially to a kind of tight sandstone reservoir flow channel microheterogeneity quantitative evaluation method in exploration and development process.A kind of tight sandstone reservoir flow channel microheterogeneity quantitative evaluation method, method as follows: obtain the throat-pore microstructure parameters of target reservoir rock sample;According to the relationship between average throat width and the throat width connected by different coordination number pores, an overall average throat diameter calculation formula is established;A linear fitting equation of coordination number and average throat width is established, the linear fitting equation is substituted into the overall average throat diameter calculation formula, and the fitting coefficient of the linear fitting equation is solved;Microheterogeneity coefficient is calculated by fitting coefficient, and non-heterogeneity grade is classified by establishing non-heterogeneity grade classification standard with microheterogeneity coefficient.The present application can be quickly applied to on-site geological feature fine evaluation and sweet spot optimization.

The application discloses a complex conduit first-order continuous center line reconstruction method based on scanning point cloud data and belongs to the field of engine geometric parameter digitization detection. After obtaining scanning point cloud data of an outer surface of a conduit, straight pipe data and curved pipe data of the complex conduit are segmented. For the segmented straight pipe and curved pipe data, random sampling cylinder fitting and circle fitting operation based on intersection of a vector point and a main plane are respectively performed to obtain trend lines of the straight pipe and the curved pipe. For the trend lines of the straight pipe and the curved pipe, center points of different pipe sections based on equally-spaced vertical section planes are solved, and linear fitting is respectively performed on the center points of the different pipe sections to obtain a plurality of discontinuous center line sections of the complex conduit. A cubic spline curve is adopted to perform first-order derivative interpolation fitting between adjacent straight line sections and circular arc section center lines to obtain a complex conduit first-order derivative continuous center line. The reconstructed center line is used as a reference for calibration of a pipe special-purpose measuring device measuring capacity.

This invention relates to the field of urban water supply scheduling and energy-saving control technology, and discloses a water supply plant scheduling method and system based on multi-objective collaborative optimization. The method includes: acquiring real-time influencing factor data and historical water consumption sequences, performing multi-source data nonlinear fitting prediction to obtain a predicted water supply distribution range; performing random scenario simulation and deviation quantification analysis based on the distribution range and the current pump configuration to obtain a water supply deviation probability distribution; if the deviation exceeds the limit, retrieving alternative solutions based on the distribution range and evaluating energy consumption to obtain an energy consumption ranking list; performing dynamic constraint iterative optimization combined with frequency constraints to obtain an optimized pump control sequence; fine-tuning the speed of the control sequence based on the flow matching degree to obtain the final control command; and using actual water supply data for adaptive feedback updates and simulation verification. This method can achieve the dual objectives of energy consumption reduction and precise water supply matching.

This invention discloses a power system inertia assessment method based on energy function, comprising the following steps: collecting system port data and preprocessing the data; calculating the magnitude of port energy flow using measurement and calculating each component; calculating the dissipated energy at each generator port, performing linear fitting on the dissipated energy flow to obtain the damping term, calculating the inertial time constant H, comparing it with the true value, and selecting an appropriate time window.

This invention discloses a fast autofocusing method for layered imaging based on vortex edge enhancement and selective linear fitting, comprising: acquiring the initial complex amplitude of an object; propagating the initial complex amplitude to a virtual Fresnel zone plate, modulating it to generate a hologram, extracting edge information during the backpropagation of the hologram, locating the region of interest (ROI), and calculating the sharpness bias within this ROI, storing it along with the corresponding axial distance in a historical dataset; during iterative iteration, substituting the updated distance parameters for each iteration of the layered imaging algorithm, classifying all data points in the historical dataset into linear or saturated intervals, performing least-squares fitting on data points classified as linear intervals, outputting the intercept and slope of the fitting function, and calculating new axial distances based on the current data point classification using different strategies, before proceeding to the next iteration. This invention enables high-precision and high-efficiency automatic calibration in a single preprocessing step.

This invention provides a method for preparing an epitaxial wafer. The method includes: detecting the temperature of a reaction chamber using a temperature detection module; when the temperature detected by the temperature detection module reaches a target temperature, controlling an epitaxial growth device to perform epitaxial growth on a loaded polished wafer to obtain an epitaxial wafer; there are multiple target temperatures, each corresponding to one epitaxial wafer; acquiring the morphological characteristics of each epitaxial wafer, including edge curvature and / or surface haze; performing linear fitting based on the target temperature and morphological characteristics corresponding to each epitaxial wafer to obtain a fitting curve; calibrating the temperature detection module based on the fitting curve; detecting the temperature of the reaction chamber using the calibrated temperature detection module; when the temperature detected by the calibrated temperature detection module meets preset epitaxial growth conditions, performing epitaxial growth on a newly loaded polished wafer using an epitaxial growth device to obtain a target epitaxial wafer, thereby improving the product quality of the epitaxial wafer.

The application belongs to the field of piezoelectric driver nonlinear modeling, and particularly discloses a piezoelectric driver creep nonlinear dynamics model and a construction method and system thereof. c (s)=s ‑μ ; wherein s is a Laplace operator; the identification method of the parameter mu includes: constructing input voltage signals with different frequencies omega i , calculating input voltage signal amplitudes U i ; according to the input voltage signals, obtaining output displacement signals of the piezoelectric driver, and simultaneously calculating output displacement signal amplitudes D i ; calculating the amplitude ratio A i of D i and U i ; obtaining a discrete data point set (x i , y i ) which satisfies: according to the linear fitting of the discrete data point set (x i , y i ), determining the slope of the fitted straight line, and determining the parameter mu according to the slope. The model constructed based on the fractional order involves fewer unknown parameters, is easy to identify, and at the same time, the modeling method is not limited by special discrete points in the time / frequency domain, and has higher universality.

The application discloses a linear rectification calculation graph visual interaction method and system, obtains plane and longitudinal section linear segmentation information based on railway line linear fitting results; creates AutoCAD entity objects of each segmentation, and draws plane and longitudinal section line graphs on an AutoCAD graph interface; detects user interaction operations for local optimization adjustment of linear, including directly inputting adjustment parameters in a linear optimization function page or directly modifying entity objects on the plane or longitudinal section line graphs drawn on the AutoCAD graph interface; in response to the interaction operations, obtains linear parameters after optimization adjustment, and automatically updates the linear fitting result graph and the plane and longitudinal section line graphs drawn on the AutoCAD graph interface according to the linear parameters after optimization adjustment. The method supports dynamic optimization adjustment of linear based on plane and longitudinal section lines, and has the advantages of visual interaction, convenient operation and good user experience.

The application discloses a near-field target positioning method based on atomic norm space frequency modeling. The method establishes a near-field array receiving signal model, then carries out a space frequency structural representation of the near-field signal, then carries out a meshless sparse space frequency representation based on atomic norm minimization, then carries out frequency ridge line extraction and linear fitting, and finally realizes joint estimation of angles and distances and system output. The application fully utilizes the space frequency variation law of the near-field signal, obtains the angle and distance information of the target by extracting the main frequency ridge line and carrying out linear fitting, can realize high-precision and low-complexity joint estimation of angles and distances, has significant advantages in parameter estimation precision, robustness and calculation efficiency, and can reduce the influence of noise and window effect on the estimation precision, thereby providing a high-precision and easy-to-implement technical scheme for near-field target positioning in large-scale MIMO systems and 6G communication.

This invention relates to the field of solid rocket motor manufacturing technology, specifically to an adaptive axial positioning method for a solid rocket motor end-effector press-fit tool. The method includes the following steps: a three-dimensional scan of the engine's outer surface is performed using a laser rangefinder rigidly connected to the robot's end effector, acquiring circumferential point cloud data of at least six radial cross-sections at equal intervals along the axial direction; elliptic equation fitting is performed on the point cloud data of each cross-section in the robot control module to solve for the coordinates of the centers of each ellipse; linear fitting is performed on all ellipse centers to obtain the unit vector of the engine's axial direction; the robot is adjusted to the press-fit height, and the angle of the press-fit tool is calculated using Newton's iteration method to align it with the unit vector, and the press-fit operation is performed along the vector direction without requiring any shaping. This invention, by positioning the engine along different axial directions, enables the robot to adaptively adjust the movement direction of the end-effector press-fit tool, avoiding quality defects caused by the press-fit direction not aligning with the engine's axial direction.

The application provides a method for analyzing repairable yield of a functional module of a chip, comprising: obtaining total failed die quantities before and after repair of each functional module and design parameter values of each functional module; calculating repairable yield according to the total failed die quantities before and after repair of each functional module; for each functional module, drawing a corresponding point in a rectangular coordinate system with the design parameter value as the horizontal axis and the repairable yield as the vertical axis, linearly fitting a scatter diagram composed of the points to obtain a fitting curve; calculating absolute errors between the corresponding point of each functional module in the rectangular coordinate system and the fitting curve, and screening out abnormal points with absolute errors greater than an error threshold; if the abnormal point is located above the fitting curve, determining that the repairable yield of the functional module corresponding to the abnormal point is normal; and if the abnormal point is located below the fitting curve, determining that the repairable yield of the functional module corresponding to the abnormal point is abnormal.

The application discloses a secondary calibration method and system of an encoder, which comprises the following steps: calculating a first set of calibration parameters through an internal self-calibration program after the encoder is installed; collecting and processing data of the encoder through a servo motor and a counter-drag platform, and generating a second set of calibration parameters; and providing position information through linear fitting in combination with the first set of calibration parameters and the second set of calibration parameters when a device where the encoder is located is normally working. The method can improve the accuracy of the encoder, and solve the problems of poor flexibility and the incapability of eliminating system-level errors through built-in calibration.

The application provides a fault element extraction method, system and device, and the method comprises the following steps: obtaining a fault polygon based on the intersection line of the three-dimensional section of a fault and a stratum surface and / or the two-dimensional interpretation data of the fault; loading horizon data related to the fault; calculating the strike of the fault through linear fitting based on the spatial attribute of the fault polygon; preprocessing the fault polygon by resampling, control point elevation calculation and upper and lower disc splitting through at least a control point; and calculating fault elements according to the strike of the fault and the preprocessed fault polygon by steps. According to the method of the application, the fault elements can be automatically calculated only by the fault polygon and the horizon data, instead of the profile and the breakpoint data, and the operation is simple, the calculation is stable, the error is small, and the fault elements of all faults of a stratum can be quickly calculated.

The application discloses a van identification and pose calculation method, which comprises the following steps: 1, an initial point cloud is acquired by using a loading robot TOF camera, and is converted to a world coordinate system through coordinate transformation; 2, local point clouds meeting a normal vector threshold are screened out through pretreatment and surface normal vector calculation; 3, bottom surface fitting is performed on the local point clouds; 4, local point clouds in a rear door bottom edge area are screened out; 5, linear fitting is completed by selecting feature points at a set interval; 6, boundary points of left and right frames of the rear door are determined, two lower corner points of the rear door are obtained by projecting the boundary points on the fitted straight line, and a midpoint of the rear door bottom edge is calculated; 7, an axis of the van is calculated, a lower midpoint of the upper frame of the rear door is determined, and finally complete van pose information including a van deflection angle, a coordinate of the midpoint of the rear door bottom edge, a van width and a van height is calculated. The application can accurately and quickly realize van pose calculation under a complex environment, so that the automatic loading task of the loading robot is realized.