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39results about How to "Improve goodness of fit" patented technology
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Wind turbine generator set engine room transfer function subregional fitting method
InactiveCN104794347AStrong practical valueImprove accuracySpecial data processing applicationsElectricityEngineering
The invention discloses a wind generator set engine room transfer function subregional fitting method. The method comprises the steps of 1, determining a target set, and collecting running data of a wind measurement mast and the target set within the same time; 2, determining the hub height H of the target set and calculating average wind speed data of the wind measurement mast at the height H; 3, utilizing IEC standards and the average wind speed data calculated in the step 2 as the basis, and removing abnormal running data in the step 1; 4, calculating a transfer function of an engine room of the target set, and correcting the transfer function, wherein the step 4 comprises the substep 4-1 of conducting fitting on a low wind speed area and a high speed wind speed area which are obtained by using the rated wind speed value as the limit and the substep 4-2 of calculating a fitting function order of the low wind speed area and a fitting function order of the high wind speed area respectively. By correcting the wind speed of the engine room, the wind speed of free flow at the center of a wind generator set wind wheel is obtained, and a power curve of the performance of the set can be more objectively reflected.
Owner:CHINA DATANG CORP RENEWABLE POWER
Image processing method and device, electronic equipment and storage medium
ActiveCN109829501AAvoid lostImprove training effectImage enhancementImage analysisImaging processingSample image
The invention relates to an image processing method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the feature equalization processing of a sample image through an equalization sub-network of a detection network, and obtaining an equalization feature image of the sample image; Performing target detection processing on the equalization feature image through a detection sub-network to obtain a prediction area of a target object in the equalization feature image; Determining the cross-to-parallel ratio of each prediction area; Sampling a plurality of prediction areas according to the cross-to-parallel ratio of each prediction area to obtain a target area; And training the detection network according to the target area and the labeling area. According to the image processing method disclosed by the embodiment of the invention, feature equalization processing is carried out on the target sample image, information loss can be avoided,and the training effect is improved. Moreover, the target area can be extracted according to the cross-to-parallel ratio of the prediction area, the probability of extracting the prediction area difficult in the determination process can be improved, the training efficiency is improved, and the training effect is improved.
Owner:BEIJING SENSETIME TECH DEV CO LTD
Traffic accident severity prediction method applied to regional road network
ActiveCN110458244AImprove forecast accuracyReduce adverse effectsForecastingCharacter and pattern recognitionUnbalanced dataData heterogeneity
The invention discloses a traffic accident severity prediction method applied to a regional road network. The method comprises the following steps: 1, acquiring and preprocessing regional road networktraffic accident data; 2, based on the regional road network traffic accident data, establishing a potential category analysis model; 3, respectively establishing a CART decision tree model for eachsub-category according to a potential category analysis result; and 4, respectively establishing an accident severity model (considering independent variables and interaction items) based on binary logistic regression for each subcategory, and taking intersection points of sensitivity and specificity curves as model prediction classification thresholds. According to the method, the adverse effectof accident data heterogeneity on an analysis result can be reduced, the problems that a traditional traffic accident severity prediction model ignores interaction items and the comprehensive prediction effect of unbalanced data is poor are solved, and the prediction precision and goodness of fit of the accident severity model are improved.
Owner:HEFEI UNIV OF TECH
Lithium ion battery life prediction method based on unscented Kalman filtering (UKF)
InactiveCN105629175AEstimated useful lifeReduce complexityElectrical testingUltrasound attenuationState variable
The invention discloses a lithium ion battery life prediction method based on unscented Kalman filtering (UKF), for the purposes of accurately estimating a battery capacity state, reducing the calculation complexity of a conventional algorithm and improving the accuracy of life predication. According to the method, a dual-exponent capacity attenuation model is taken as a lithium ion battery capacity degeneration model, and a state transition equation and a measurement equation of a lithium ion battery capacity are obtained; according to known life attenuation data of other batteries, distribution of state variable initial values of the dual-exponent capacity attenuation model is obtained; for a battery to be predicted needing life predication, a corresponding predication start point is determined; by use of a UKF method, state tracking is carried out on capacity data of the battery to be predicted which is already charged and discharged for certain frequency, state variables in the capacity attenuation model are updated, and corresponding state variables after the charge frequency are obtained; and corresponding state variables after the charge and discharge frequency and the battery capacity are predicted, a capacity prediction curve is drawn, and the life of the battery to be predicted is determined.
Owner:BEIJING AEROSPACE MEASUREMENT & CONTROL TECH
Feature function space filter value-based regressive landslide hazard logistic analysis method
ActiveCN108038081ASimulation is accurateAccurate predictionComplex mathematical operationsRegression analysisAlgorithm
The invention discloses a space filter value-based logistic regressive landslide hazard analysis method. Aiming at analytical investigations of landslide hazards, a space filter value thought is imported into a common logistic regression model so as to design a regressive landslide analysis algorithm which comprises the steps of non-landslide site selection, disaster-inducing factor obtaining andgrading, adjacent matrix construction, feature value and feature vector calculation, stepwise regression feature vector selection and regressive modeling. According to the method, the problem that themodel precision is not high as logistic regression models are influenced by spatial autocorrelation between variables can be solved. By adding filter value operators which are constructed by utilizing selected feature vectors into logistic regression models, autocorrelation influences of residuals can be effectively filtered, the fitting goodness and prediction correctness of the regression models can be improved and correct simulation and prediction for landslide hazards can be realized.
Owner:WUHAN UNIV
Eddy current sensor machine tool online calibration device and method
ActiveCN111203759ALow shape requirementSimple structureMeasurement/indication equipmentsNumerical controlElectrical conductor
The invention discloses an eddy current sensor machine tool online calibration device and method. The eddy current sensor machine tool online calibration device comprises a sensor fixing device and ameasured conductor fixing device. A sensor bracket in the sensor fixing device is fixed to a machine tool workbench through a holddown bolt, and a probe of an eddy current sensor is fixed to the sensor bracket through a fixing nut. A connection column of the measured conductor fixing device is clamped by an elastic collet in a cutter handle, a spring clip is fixed to the connection column througha nut and a bolt, and a measured conductor is clamped by the spring clip. The a measured conductor is controlled by a numerical control machine tool to get away from or close to the probe of the eddycurrent sensor, one time of the forward stroke and one time of the backward stoke are conducted, and when the machine tool is moved by deltax every time, a group composed of nine point data are measured; for a group of data, a current value of the center position is obtained through a secondary bilinear interpolation method; and for the non-linear section and the linear section of the eddy currentsensor, the relation between displacement and the center current value of the linear section are obtained through a least square method. The eddy current sensor machine tool online calibration deviceis simple in structure, convenient to operate and small in error.
Owner:CHONGQING UNIV
Method for determining parameters of to-be-measured sample from theoretical spectrum library and measurement equipment
ActiveCN111879236AImprove matching accuracyImprove accuracyDesign optimisation/simulationUsing optical meansComputational physicsStatistical physics
The invention provides a method for determining morphology parameters of a to-be-measured sample based on spectrum library matching and measuring equipment. The method comprises the following steps: constructing a theoretical spectrum library according to a structure model of the to-be-measured sample, acquiring a measurement spectrum, and determining an initial approximate optimal matching spectrum and an initial approximate optimal matching parameter vector of the measurement spectrum from the theoretical spectrum library; obtaining at least three sampling points of each to-be-measured parameter and a mean square error of the theoretical spectrum and the measurement spectrum corresponding to each sampling point; and performing parabola fitting on the distribution curve of the mean squareerrors of the theoretical spectrum and the measurement spectrum corresponding to the at least three sampling points of each to-be-measured parameter relative to the parameter values corresponding tothe sampling points to obtain a global optimal matching value of each to-be-measured parameter. According to the method, the matching precision between the measurement spectrum and the theoretical spectrum is remarkably improved, and the problem of inaccurate interpolation caused by the adoption of a traditional method when morphology parameters are coupled is solved.
Owner:SHANGHAI PRECISION MEASUREMENT SEMICON TECH INC
A metro accident delay time prediction method based on a maximum likelihood regression tree
The invention discloses a metro accident delay time prediction method based on a maximum likelihood regression tree. Since there may be interaction among a plurality of variables causing subway delay,the present invention utilizes the constructed bivariate splitting method to establish the maximum likelihood regression tree (MLRT) model to describe and analyze subway accident delay. The MLRT model based on Hong Kong Metro accident data from 2005 to 2012 consists of 13 leaf nodes, each leaf node is assigned a logarithmic logistic distribution accelerated failure model (AFT). The results show that the two-factor split maximum likelihood regression model is better than the traditional AFT model and the single-factor split maximum likelihood regression tree model. On this basis, the method ofthe invention can accurately predict the subway delay accident and the probability that the subway accident delay exceeds the maximum bearing range, as the important basic information to remind passengers to replan the journey.
Owner:SHANGHAI MARITIME UNIVERSITY
Device and method for predicting sewage blockage of reverse osmosis membrane
ActiveCN113477097APredict foulingImprove goodness of fitSemi-permeable membranesReverse osmosisWater production
The invention discloses a device and a method for predicting sewage blockage of a reverse osmosis membrane. The method comprises the following steps: the corrected water production flux J of a reverse osmosis membrane is controlled to be unchanged, the operation pressure delta P0 of a water sample at an initial moment and the operation pressure delta P at a moment t are measured, the standardized pressure delta P / delta P0 at the moment t is calculated, and the time change rate of the standardized pressure at different moments is calculated; and the standardized pressure delta P / delta P0 at the moment t is fitted through a membrane sewage blockage model, and the specific process is that if the time change rate of the standardized pressure delta P / delta P0 is increased along with the increase of the filtering time t, a first model (shown in the specification) is adopted, wherein t is the filtering time; delta P is the operation pressure at the moment t, delta P0 is the operation pressure at the initial moment, delta P / delta P0 is the standardized pressure; j is dimensionless flux; delta pi N is osmotic pressure standardized by the initial operation pressure; alpha is a compensation coefficient; k is a resistance increasing coefficient; and b is a model parameter related to the filtering initial resistance. The method can accurately simulate and predict the change of the standardized pressure along with the operation time, and is high in goodness of fit.
Owner:TSINGHUA UNIV +1
Oil paper insulation performance analysis method and device considering non-uniform medium
ActiveCN111896849AImprove goodness of fitCalculation results are accurate and reliableTesting dielectric strengthDielectric responseFrequency domain
The invention discloses an oil paper insulation performance analysis method and device considering a non-uniform medium. An existing oiled paper insulation equivalent model cannot accurately reflect the polarization condition of a non-uniform medium interlayer. The invention discloses an oil paper polarization equivalent model considering interlayer polarization. The polarization response processof actual oil-paper insulation can be better reflected, a parameter identification method of an equivalent model is provided based on frequency domain dielectric response actual measurement data of the oil-paper insulation, numerical approximation of an original spectrogram is achieved, and goodness of fit is introduced to serve as an index for evaluating the accuracy of the parameter identification method.
Owner:STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +2
A Partition Fitting Method for Wind Turbine Nacelle Transfer Function
InactiveCN104794347BStrong practical valueImprove accuracySpecial data processing applicationsElectricityNacelle
The invention discloses a wind generator set engine room transfer function subregional fitting method. The method comprises the steps of 1, determining a target set, and collecting running data of a wind measurement mast and the target set within the same time; 2, determining the hub height H of the target set and calculating average wind speed data of the wind measurement mast at the height H; 3, utilizing IEC standards and the average wind speed data calculated in the step 2 as the basis, and removing abnormal running data in the step 1; 4, calculating a transfer function of an engine room of the target set, and correcting the transfer function, wherein the step 4 comprises the substep 4-1 of conducting fitting on a low wind speed area and a high speed wind speed area which are obtained by using the rated wind speed value as the limit and the substep 4-2 of calculating a fitting function order of the low wind speed area and a fitting function order of the high wind speed area respectively. By correcting the wind speed of the engine room, the wind speed of free flow at the center of a wind generator set wind wheel is obtained, and a power curve of the performance of the set can be more objectively reflected.
Owner:CHINA DATANG CORP RENEWABLE POWER
SAR image ship CFAR detection method based on bilateral truncation statistical characteristics
ActiveCN112881983AEfficient and accurate detectionSolve the problem of detection rate dropRadio wave reradiation/reflectionLogit-normal distributionAlgorithm
The invention discloses an SAR image ship CFAR detection method based on bilateral truncation statistical characteristics. The method comprises the steps: 1, obtaining an SAR image, setting a local sliding window composed of a target window and a background window, calculating a logarithm domain mean value, a logarithm domain standard deviation and a variation index of pixels in the background window, obtaining a truncation rule, removing the heterogeneous pixels therein; 2, performing logarithm domain mean value and logarithm domain standard deviation estimation on the reserved real sea clutter by adopting a maximum likelihood estimation method; 3, modeling the real sea clutter gray scale probability density by using logarithmic normal distribution; and 4, establishing a judgment rule according to a given detection false alarm rate, and performing target judgment on the to-be-detected pixel in the target window. According to the method, the heterogeneous pixels in the background window can be effectively removed, so that the detection rate of the ship target under the complex sea condition can be effectively improved on the premise of keeping a relatively low false alarm rate, the calculation efficiency is high, and the method has a relatively good engineering application value.
Owner:HEFEI UNIV OF TECH
Prediction method of power market bidding data based on least square method
InactiveCN107392707AImprove goodness of fitBuying/selling/leasing transactionsElectricity marketAlgorithm
The invention discloses a prediction method of power market bidding data based on a least square method. The prediction method comprises a step of obtaining an average transaction price historical data, establishing a time and average price prediction model, calculating a residual sum of squares, determining parameters of a prediction equation, calculating a partial derivative of the residual sum of squares to the prediction equation, setting the partial derivative to be zero, obtaining parameter values, setting multiple power of a prediction equation independent variable, training data, and obtaining different residual sums of squares, a step of orderly circulating to obtaining residual sums of squares and comparing the residual sums of squares, taking a minimum value of the residual sums of squares, and obtaining a precise prediction equation, a step of training more real data based on various prediction equations and obtain an optimal solution, and a step of orderly setting the multiple prediction equations to match data, and finally obtaining a prediction equation with a highest goodness of fit.
Owner:NANJING HUADUN ELECTRIC POWER INFORMATION SAFETY EVALUATION CO LTD
CO2 emission monitoring method and monitoring system
ActiveCN114878748ASimplified typesOvercoming Data UncertaintyIndication of weather conditions using multiple variablesTechnology managementData setEngineering
The invention discloses a CO2 emission monitoring method and monitoring system. The method comprises the following steps: acquiring first data and second data; processing the first data by adopting an area weighted average method to obtain third data; processing the second data by adopting a time interpolation and spatial convolution method to obtain fourth data; matching the third data with the fourth data according to the 1km grid and time to form a training data set, and modeling by adopting a machine learning method to fill the comprehensive domain NO2 column concentration space-time distribution of the target area; matching the space-time distribution of the filled NO2 column concentration with the wind speed and the wind direction, and calculating by adopting a linear density fitting method to obtain the average NOx emission in each wind direction; the NOx emission amount is combined with a CO2-NOx scaling factor, and the CO2 emission amount is obtained; the method has the beneficial effects that the calculation accuracy of the CO2 emission amount and the dynamic updating frequency are improved, and real-time data support is provided for emission reduction and carbon reduction work.
Owner:STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
Method for grading test text reading difficulty of children based on Ross model
PendingCN113569556ARepresents difficultyStands for reading comprehensionData processing applicationsCharacter and pattern recognitionCorrelation coefficientAlgorithm
The invention discloses a method for grading test text reading difficulty of children based on a Ross model. The method comprises the following steps: finding text fragments involved in an answer of a reading understanding question in a text; calculating language variables of the text segments to serve as independent variables; converting the reading understanding score into a Logit value, and then converting the Logit value into a text difficulty value in a 200-1500 interval as a dependent variable; adopting a Pearson product difference correlation coefficient to screen out an independent variable with a high correlation coefficient with the dependent variable; and determining an optimal linguistic variable for predicting the dependent variable by adopting a least square method, and exporting an optimal matching function. According to the method, the Ross model and the score conversion method thereof are adopted to carry out difficulty level analysis on the text by using any number from 200 to 1500, the goodness of fit is high, and the method accords with the language characteristics of Chinese. Students can measure and calculate the difficulty level of reading the text by reading the text and completing 3-4 reading understanding questions corresponding to the text, the calculation is simple and rapid, and the method has good applicability and generalization performance.
Owner:HUAIHUA UNIV
Method for confirming storage service life of resin adhesive and device and electronic equipment
ActiveCN108536918AAccurate shelf lifeImprove goodness of fitDesign optimisation/simulationSpecial data processing applicationsEpoxyGoodness of fit
The invention relates to a method for confirming the storage service life of a resin adhesive and a device and electronic equipment. The method comprises the following steps: by improving an Arrheniusmodel, establishing a secondary relationship of a logarithm of an acceleration service life of a resin adhesive and a temperature reciprocal so as to obtain a relationship of the acceleration servicelife and the temperature of the resin adhesive; calculating an actual storage service life of the resin adhesive at a normal storage temperature. By adopting the method, relatively high fit goodnessof service lives and temperatures can be achieved, and the storage service life of an epoxy resin adhesive is relatively accurate; a nonlinear relationship of temperatures and acceleration service lives can be widened, data fitting can be carried out through an improved model, the problem that the relationship of high secondary items of temperatures and service lives cannot be reproduced by usinga conventional Arrhenius method is solved, and service life estimation errors can be reduced; calculation can be updated at different temperatures, and compared with a conventional method, the methodis not only applicable to service life pre-estimation on the resin adhesive at a low temperature, and is also applicable to situations of high-temperature service life estimation.
Owner:BEIJING INST OF AEROSPACE CONTROL DEVICES
A method of building a predictive model
ActiveCN107330254BWell formedHigh transparencyChemical property predictionChemical processes analysis/designDisulfide bondingAmidogen
The invention discloses a method for predicting the water-phase reaction rate constant of organic matter and a sulfuric acid free radical in a water phase through quantitative structure activity relationship. Based on a compound structure, a molecular descriptor with a structural feature is calculated, and by the adoption of a multiple linear regression method, a QSAR model of an organic compound kso4- is constructed. Establishment of the model strictly confirms to the constructing and using guideline of the QSAR model from organization for economic cooperation and development, the constructed model has a definite application field, contains 197 kinds of organic compounds of different structures, and contains compounds containing carbon-carbon double bonds, carbon-carbon triple bonds, a hydroxyl group, phenolic hydroxyl, a carbonyl group, an aldehyde group, a carboxy group, an ester group, an amide group, nitro, an amino group, a cyano-group, an ether bond, a disulfide bond, fluorine, chlorine, bromine, iodine, arsenium and other radical groups. The mode has good fitting capacity, robustness and predicting capacity, can rapidly and accurately predict the kso4- value of the organic compound, and reference is provided for application of an advanced oxidation process based on a sulfuric acid free radical.
Owner:DALIAN UNIV OF TECH
Dynamic programming-based InGaN/GaN multi-quantum well solar cell model parameter extraction method
PendingCN114818314AMeet and improve precision requirementsImprove goodness of fitDesign optimisation/simulationSpecial data processing applicationsElectrical batteryPeak current
The invention belongs to the technical field of solar cells, and discloses a dynamic programming-based InGaN / GaN multi-quantum well solar cell model parameter extraction method, which comprises the following steps of S1, constructing an InGaN / GaN multi-quantum well solar cell model; s2, constructing an I-V characteristic curve expression of the model of the InGaN / GaN multi-quantum well solar cell; s3, constructing an equation set about the short-circuit current Isc, the peak current Im, the open-circuit voltage Voc and the peak voltage Vm; s4, defining a range of an ideal factor n of a series resistor Rs and a diode in the model, and grouping the series resistor Rs and the diode; and S5, on the basis of the step S4, solving values of five parameters of Rs, n, Iph, I0 and Rsh in the model. According to the method, parameter extraction can be carried out on the InGaN / GaN multi-quantum well solar cells with different In components, the filling factor error and the photoelectric conversion efficiency error are small, the curve fitting goodness is high, and the parameter extraction precision is high.
Owner:SHAANXI UNIV OF SCI & TECH
An eddy current sensor machine tool online calibration device and method
ActiveCN111203759BLow shape requirementSimple structureMeasurement/indication equipmentsNumerical controlElectrical conductor
Owner:CHONGQING UNIV
Image processing method and device, electronic device and storage medium
ActiveCN109829501BReduce lossesImprove detection accuracyImage enhancementImage analysisImaging processingSample image
The present disclosure relates to an image processing method and device, electronic equipment, and a storage medium. The method includes: performing feature equalization processing on a sample image through an equalization sub-network of a detection network to obtain an equalized feature image of the sample image; Perform target detection processing on the balanced feature image to obtain the predicted area of the target object in the balanced feature image; respectively determine the intersection ratio of each predicted area; according to the intersection ratio of each predicted area, sample multiple predicted areas to obtain the target area ; According to the target area and the marked area, train the detection network. According to the image processing method of the embodiment of the present disclosure, performing feature equalization processing on the target sample image can avoid information loss and improve training effect. Moreover, the target area can be extracted according to the intersection ratio of the prediction area, which can increase the probability of extracting the prediction area that is difficult to determine, improve the training efficiency, and improve the training effect.
Owner:BEIJING SENSETIME TECH DEV CO LTD
Rapid determination method for polymerization degree of refined cotton
PendingCN114324830AImprove efficiencyEasy to operateTextile testingDegree of polymerizationMaterials science
The invention discloses a method for rapidly measuring the polymerization degree of refined cotton, which comprises the following steps of: taking a proper amount of refined cotton sample, treating the sample by adopting a high-temperature drying method, and weighing the absolutely dry sample to measure the polymerization degree of the refined cotton. The method for rapidly measuring the polymerization degree of the refined cotton has the advantages of being rapid, simple, convenient and feasible, capable of saving cost, accurate in measured data, high in operability and the like.
Owner:HUBEI JINHANJIANG REFINED COTTON
Ship cfar detection method based on bilateral truncated statistics in sar images
ActiveCN112881983BEfficient and accurate detectionSolve the problem of detection rate dropRadio wave reradiation/reflectionLogit-normal distributionAlgorithm
Owner:HEFEI UNIV OF TECH
Weibull function-based pulse wave fitting method
PendingCN114010167AImprove goodness of fitReduce the number of dataCatheterAngiographyData setEngineering
The invention discloses a Weibull function-based pulse wave fitting method, which comprises the following steps: truncating data, namely cutting and dividing acquired human body radial artery pulse wave data by taking a pulse cycle as a unit to obtain a data set of single-cycle pulse waves; and fitting the pulse wave data by using a two-parameter or three-parameter Weibull function mode. The invention has the beneficial effects that the fitting function, namely the Weibull function, suitable for each wavelet of the pulse wave is selected according to the shape of the pulse wave; according to the method, the goodness of fit can be remarkably improved, the number of data which cannot be fitted is remarkably reduced, and meanwhile, the method has universality.
Owner:SUN YAT SEN UNIV
A Copula Function-Based Modeling Method of Combined Wind and Wind Output
InactiveCN109038648BImprove goodness of fitReduce estimation errorSingle network parallel feeding arrangementsWind energy generationDynamic modelsAtmospheric sciences
The invention discloses a wind-solar combined output modeling method based on a Copula function. The method comprises the following steps: converting the output power of a wind farm and a photovoltaicfield into a wind power output sequence and a photovoltaic output sequence, estimating the core density, and obtaining the edge distribution function of the wind power output and the photovoltaic output; substituting the edge distribution functions of wind power output and photovoltaic output into a Copula function to obtain static correlation coefficients of the Copula function, and using the static correlation coefficients of the Copula function to establish the static model of wind-solar combined output; substituting the wind power output sequence and photovoltaic output sequence into an evolution equation, and utilizing a maximum likelihood estimation method to obtain dynamic correlation coefficients of the Copula function, and using the dynamic correlation coefficients of the Copulafunction to establish a dynamic model of wind-solar combined output. The optimal model is obtained from the static model and the dynamic model of the wind-solar combined output. The invention reducesthe estimation error and makes the model fitting goodness higher.
Owner:HUAZHONG UNIV OF SCI & TECH +3
A Method for Improving the Measurement Accuracy of Elements Based on Double Pulse and Spatial Confinement
ActiveCN103543131BIncrease electron densityIncrease temperatureAnalysis by material excitationElectron temperatureSignal-to-noise ratio (imaging)
The invention discloses a method for improving element measurement accuracy based on double pulse and space confinement, which belongs to the technical field of atomic emission spectrometry. In this method, pits or cavities are first made on the surface of the sample to be tested, and then the sample is hit by a double-pulse laser. The first pulse creates a low-pressure environment inside the pit or chamber, and the second pulse excites the sample to create a plasma. The plasma is limited by space during the expansion process, which makes the plasma temperature and electron density significantly increased, and the plasma is more uniform, which is conducive to increasing the stability of the measurement signal, improving the signal-to-noise ratio, and reducing the detection of trace elements in the sample. limit. This method has the characteristics of good calibration and high prediction accuracy.
Owner:TSINGHUA UNIV
A Highway Accident Frequency Prediction Method Considering Time-varying Characteristics of Risk Factors
ActiveCN112837533BImprove forecast accuracyImprove goodness of fitDetection of traffic movementForecastingPositive predicative valuePredictive methods
The invention discloses a road accident frequency prediction method considering the time-varying characteristics of risk factors. The steps are as follows: 1. Collect and process historical traffic accident data and related risk factor data; 2. Establish a Logistic regression model; 3. Use Youden Calculate the classification threshold of the Logistic model by the index method; 4. Calculate the positive predictive value (Positive predictive value) and negative predictive value (Negative predictive value) of the model based on the Logistic model and historical accident data; 5. Use the calculated positive predictive value and The negative predictive value is used to predict the frequency of accidents. The invention can overcome the problem that the traditional accident frequency model cannot reflect the influence of time-varying characteristics of risk factors on accidents, and is beneficial to improving the prediction accuracy of the accident frequency prediction method.
Owner:HEFEI UNIV OF TECH
Method, device and electronic equipment for determining storage life of resin adhesive
ActiveCN108536918BAccurate shelf lifeImprove goodness of fitDesign optimisation/simulationSpecial data processing applicationsEpoxyAdhesive cement
The invention relates to a method, device and electronic equipment for determining the storage life of a resin-type adhesive. By improving the Arrhenius model, the quadratic relationship between the logarithm of the accelerated life of the resin-type adhesive and the reciprocal of the temperature is established, thereby obtaining the resin-type adhesive. The relationship between the accelerated life of the adhesive and the temperature is obtained to obtain its actual storage life at a normal storage temperature. This method has a higher degree of fitting for the life and temperature, and the storage life of the obtained epoxy resin adhesive is also more accurate; the present invention Expand the nonlinear relationship between temperature and accelerated life, and use the improved model for data fitting, which solves the problem that the traditional Arrhenius cannot reproduce the relationship between the high-order term of temperature and life, and reduces the life estimation error; The invention updates the calculation at different temperatures. Compared with the existing methods, the present invention is not only applicable to the life estimation of resin adhesives at low temperature, but also applicable to the situation of high temperature life estimation.
Owner:BEIJING INST OF AEROSPACE CONTROL DEVICES
A processing method for high temperature and high cycle fatigue performance data of materials
ActiveCN111597706BAccurate and Efficient PredictionReduced Quantity RequirementsDesign optimisation/simulationSpecial data processing applicationsProcess engineeringComputer science
The invention is a processing method for high-temperature and high-cycle fatigue performance data of materials. The processing method can effectively process high-temperature and high-cycle fatigue performance data under multi-temperature conditions. Aiming at high-cycle fatigue performance data under various temperature conditions, the proposed The temperature-dependent high-cycle fatigue regression model and its regression calculation method can establish a unified high-cycle fatigue performance characterization equation under multiple temperatures, and can effectively realize the prediction of high-cycle fatigue performance under the influence of multiple temperatures. It has important application value to predict the fatigue life of materials under high temperature and high cycle.
Owner:AVIC BEIJING INST OF AERONAUTICAL MATERIALS
A device and method for predicting reverse osmosis membrane fouling
ActiveCN113477097BPredict foulingImprove goodness of fitSemi-permeable membranesThermodynamicsReverse osmosis
The invention discloses a device and method for predicting reverse osmosis membrane fouling, including: controlling the corrected water production flux J of the reverse osmosis membrane to remain unchanged, and measuring the operating pressure ΔP of the water sample at the initial moment 0 , and the operating pressure ΔP at time t, calculate the normalized pressure at time t to calculate the time change rate of the standardized pressure at different times; use the membrane fouling model to fit the normalized pressure at time t, the specific process is: if the time of normalized pressure When the rate of change increases with the increase of filtration time t, model 1 is adopted: where, t is the filtration time; ΔP is the operating pressure at time t, ΔP 0 is the operating pressure at the initial moment, and is the normalized pressure; j is the dimensionless flux; Δπ N is the osmotic pressure standardized by the initial operating pressure; α is the compensation coefficient; k is the resistance increase coefficient; b is the model parameter related to the initial resistance of filtration. The invention can accurately simulate and predict the change of the standardized pressure with the running time, and has a high fitting degree.
Owner:TSINGHUA UNIV +1
A Feature Extraction Method of Marine Target Based on Companion Variance Modification Model
ActiveCN113033577BImprove goodness of fitImplementing Sea Clutter ModelingCharacter and pattern recognitionDesign optimisation/simulationFeature extractionAlgorithm
The invention discloses a marine target feature extraction method based on a concomitant variance correction model, which belongs to the technical field of marine remote sensing, including constructing an OceanTD deep learning model, and performing preliminary detection of marine target features based on the OceanTD deep learning model; and then constructing a concomitant variance The model is revised, the variance of the logarithmic distribution function is corrected, the standard deviation and absolute value error indicators are considered, the variance correction item is added, and its formula is derived, which improves the goodness of fit for complex sea conditions and sea clutter; finally, based on the The variance correction model uses the CFAR algorithm to extract ocean target features, and visualizes the extracted ocean target features, which improves the recall rate of ocean target detection and the accuracy of ocean target parameter extraction; the method proposed in the present invention, sea clutter fitting The superiority is significantly improved, the amount of false alarms in target detection is significantly reduced, and the accuracy of feature extraction is effectively improved.
Owner:SHANDONG UNIV OF SCI & TECH
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