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74 results about "Global sensitivity analysis" patented technology
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Three-axis numerical control machine tool key geometric error identification method based on global sensitivity analysis
ActiveCN104007700AImprove machining accuracyProgramme controlComputer controlGeometric errorNumerical control
The invention provides a three-axis numerical control machine tool key geometric error identification method based on global sensitivity analysis, belongs to the field of machine tool accuracy design, and particularly relates to a three-axis machine tool space error modeling method and a three-axis machine tool geometric error global sensitivity analysis method. On the basis of machine tool space error models built through the multi-body theory and geometric error measurement, global sensitivity analysis is conducted on various geometric errors of a machine tool, and influence on machining accuracy of the coupling effect of the geometric errors is obtained. A new machine tool design concept is provided, and the problem of machine tool accuracy is fundamentally solved. Guiding suggestions can be put forward for practical assembly and machining, therefore, output of errors is reduced, the machining accuracy of the numerical control machine tool is improved, and the problem of the machine tool accuracy is fundamentally solved.
Owner:BEIJING UNIV OF TECH
Method for estimating yield of winter wheat by assimilating characteristics of leaf area index time-sequence curve
The invention discloses a method for estimating the yield of winter wheat by assimilating the characteristics of a leaf area index time-sequence curve. The method is implemented through the following steps: S1, performing global sensitivity analysis on a crop model and completing parameter regionalization of the crop model; S2, synthesizing the MODIS LAI (moderate resolution imaging spectroradiometer leaf area index) time-sequence curve; S3, performing filtering processing on the LAI time-sequence curve; S4, performing curve fitting and extracting key characteristic points; S5, operating the crop model in area coverage, performing curve fitting on the LAI time-sequence curve obtained by simulation and extracting the key characteristic points on the curve; and S6, establishing a cost function according to dates of three key characteristic points which are respectively obtained in S4 and S5, taking remote sensing observation error as weight for summating and further getting a total cost function, minimizing the total cost function to rapidly converge the cost function, and finally gathering according to an administrative boundary when convergence conditions are met and outputting a yield result. According to the method disclosed by the invention, the assimilation precision is improved, the affects caused by the situation that an MODIS LAI product system is lower are overcome and the method is further suitable for estimating the yield of the winter wheat at regional scale.
Owner:CHINA AGRI UNIV
Identification of most influential design variables in engineering design optimization
InactiveUS20110251711A1Facilitate global sensitivity analysisDesigning can be facilitatedDesign optimisation/simulationMulti-objective optimisationGraphicsVariable versus
A method of identifying most influential design variables in a multi-objective engineering design optimization of a product is disclosed. According to one aspect of the present invention, a product is optimized with a set of design variables and a set of response functions as objectives and constraints. Representative product design alternatives (samples) are chosen from the design space and evaluated for responses. Metamodels are then used for fitting the sample responses to facilitate a global sensitivity analysis of all design variables versus the response functions. A graphical presentation tool is configured for allowing the user to conduct “what-if” scenarios by interactively applying respective weight factors to response functions to facilitate identification of most influential design variables. Engineering design optimization is then conducted in a reduced design space defined by the most influential design variables.
Owner:LIVERMORE SOFTWARE TECH
Global sensitivity analysis method for improving usefulness of complex information system
InactiveCN107886161AMake up for efficiencyMake up for the shortcomings of poor performanceNeural architecturesNeural learning methodsModel parametersInitial sample
The invention discloses a global sensitivity analysis method for complex information system performance, which includes: experimental design of initial sample generation; construction of performance evaluation model; generation of proxy model; experimental design of sensitivity analysis data generation; Sensitivity analysis: By adjusting the value of sensitive indicators, the system performance can be maximized, and then the system components associated with them can be found by sensitive indicators, and improved according to the values. The advantages of the present invention are: for complex information system efficiency evaluation model with many parameters, high dimensions, wide range of values, and complex evaluation process, the agent model based on extreme learning machine is introduced to replace the complex efficiency evaluation model, and the global model based on variance is used. Sensitivity analysis method, improving the performance of complex information systems within a limited budget and time, invented a sensitivity analysis method to quickly improve complex information systems.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Power plant boiler combustion intelligent control method
ActiveCN105974793ALower acquisition costsImprove generalization abilityAdaptive controlCombustionComputer science
The invention discloses a power plant boiler combustion intelligent control method. The method comprises the following steps: (1) historical operation data are fused; (2) the historical operation data after fusion are traversed, error detection is carried out, error data are eliminated, steady-state operation condition data are screened, certain operation condition data in the steady-state operation condition data are removed, and the remaining steady-state operation condition data serve as training samples; (3) a training sample library is built, coal quality characteristic parameters and boiler control parameters serve as input parameters, combustion effect parameters serve as output parameters, and a boiler integrated combustion prediction model is built; and (4) global sensitivity analysis is carried out on the boiler combustion effect parameters, sensitive boiler control parameters in the boiler combustion effect parameters and a sensitive interval are obtained, a heuristic optimization algorithm is then adopted to realize optimization of the boiler control parameters, and thus, intelligent optimization control on the boiler is realized. Modeling is carried out based on the rich historical operation data of the power plant boiler, and the practicability is good.
Owner:HUAZHONG UNIV OF SCI & TECH
Tunnel construction surrounding building safety early warning method based on multi-sensor
InactiveCN106779296AImprove accuracyOvercoming the status quo of a single source of evaluation dataResourcesFault toleranceNormal state
The invention belongs to the safety risk perception technology field of building deformation induced by nearby tunnel construction, and specifically relates to a tunnel construction surrounding building safety early warning method based on multi-sensor; the method comprises the following steps: 1, building a multi-layer information fusion model; 2, using grade of membership calculating construction in a cloud model theory to input basic credibility distribution of different risk levels; 3, combining a Dempster rule with a weight average rule to process multi-source evidence fusion and inference containing conflicts; 4, using the Monte Carlo technology to input fuzzy random nondeterminacy of factors through normal state probability distribution symptoms in a measuring process; 5, proposing a risk analysis credibility factor and a global sensitivity analysis index, thus obtaining the final safety risk level. The method can effectively process the nondeterminacy, conflict and error problems in complex decision making, thus obtaining more accurate safety early warning results, and providing very strong accuracy and fault tolerance capability.
Owner:HUAZHONG UNIV OF SCI & TECH
Vehicle bumper structure optimization method based on particle swarm optimization algorithm
ActiveCN105608286AImprove the efficiency of structure optimizationOvercoming optimization difficultiesGeometric CADInternal combustion piston enginesLow speedEngineering
A vehicle bumper structure optimization method based on a particle swarm optimization algorithm includes the steps that bumper modeling is carried out, simulation analysis of strength working conditions and low-speed collision working conditions is carried out, a simulation model is obtained, sampling is carried out in an optimization design domain, and an approximation model is established; global sensitivity analysis is carried out on an established objective function according to a sensitivity analysis technology, and key variables are obtained; the optimization design domain is recognized according to a data mining technology to obtain a supplement zone; sampling is carried out in the optimization design domain and the supplement zone, and after the particle swarm optimization algorithm is run to obtain an optimization result, the optimization result is rounded into an engineering value to obtain an optimized bumper structure. By means of the method, optimization difficulty brought by strong nonlinearity of the collision working conditions and a large number of check working conditions is overcome, and the efficiency of optimizing the carbon fiber composite bumper structure is improved.
Owner:SHANGHAI JIAO TONG UNIV
PCE (polynomial chaos expanse) based global sensitivity analysis method for time-variation reliability
ActiveCN105512404AComputationally efficientHigh precisionSpecial data processing applicationsApplicability domainLeast squares
The invention provides a PCE (polynomial chaos expanse) based global sensitivity analysis method for time-variation reliability. The method comprises steps as follows: step one, performance PCE at each discrete moment of a product degradation process is calculated on the basis of a failure mechanism reliability and performance integrated module; step two, reliability PCE at each discrete moment of the product degradation process is calculated on the basis of an orthogonal experimental design scheme; step three, time-variation reliability PCE of the product degradation process is calculated according to the principle of moving least square; step four, coefficients of the time-variation reliability PCE are decomposed and recombined according to Sobol', and a global sensitivity Sobol' index is calculated. The method can be used for efficiently solving the problem about global sensitivity analysis for the reliability of a complex engineering model in a degradation process and has the characteristics of higher precision, wide application range and the like.
Owner:BEIHANG UNIV
Hyperspectral reflectance data spectrum characteristics extracting method based on global sensitivity analysis
InactiveCN103714341AUniversalImprove scalabilityCharacter and pattern recognitionRemote sensing applicationCanonical transformation
The invention relates to a hyperspectral reflectance data spectrum characteristics extracting method based on global sensitivity analysis. The method comprises the following steps of (1) sensitivity analysis: calculating sensitivity of the hyperspectral reflectance data on each waveband position by utilizing a global sensitivity analysis method; (2) characteristic waveband selection: selecting a characteristic waveband according to the sensitivity analysis result; (3) canonical transformation: calculating a characteristic vector by utilizing a canonical transformation method when the divisibility of the class is maximal; (4) spectrum characteristic establishment: establishing a first canonical axis to be used as a spectrum characteristic by utilizing the linear combination of the characteristic waveband reflectance value and the elemental value corresponding to the characteristic vector. Compared with the traditional hyperspectral reflectance data spectrum characteristics extracting method, the spectrum characteristic established by adopting the method enables the divisibility of different classes to be maximized while the data dimension is reduced, and the method is particularly applicable to the remote sensing application problem such as crop stress detection, target recognition, ground feature classification and the like, and has wide prospect in the technical field of the hyperspectral reflectance data processing and application.
Owner:BEIHANG UNIV
Processing error model global sensitivity analysis method based on quasi-Monte Carlo simulation
ActiveCN110287553AImprove machining accuracyAvoid distortionGeometric CADComplex mathematical operationsNumerical controlGeometric error
The invention discloses a novel processing error model global sensitivity analysis method based on quasi-Monte Carlo simulation, belongs to the field of machine tool precision design, and particularly relates to a spatial error modeling method of a multi-axis numerical control machine tool and the processing error model global sensitivity analysis method based on quasi-Monte Carlo simulation. According to the present invention, a multi-body system theory is used for establishing a numerical control machine tool space error model, according to the Monte Carlo sampling mechanism, a machine tool machining error model is subjected to the global sensitivity analysis, the key geometric error parameters influencing a machine tool machining error are obtained, a new machine tool design concept is provided at the initial stage of the machine tool design, and a theoretical basis is laid for improving the machining precision of the numerical control machine tool and compensating the key geometric error parameters.
Owner:BEIJING UNIV OF TECH
The invention discloses a rEapid quipment efficiency evaluation result rapid analysis method based on a meta-model analysis method for an equipment efficiency evaluation result based on a meta-model
InactiveCN109614729AQuick analysisDesign optimisation/simulationSpecial data processing applicationsData setSimulation
The invention provides an equipment efficiency evaluation result rapid analysis method based on a meta-model. theThe meta-model technology is introduced into the weapon equipment combat effectivenessevaluation modeling and evaluation result analysis process; T; the method depends on an attack-defense confrontation simulation deduction system. Analyzing and assessing task requirements, constructing an efficiency assessment index system, designing a simulation experiment according to input and output indexes of the assessment index system, obtaining a training and testing sample data set of theefficiency assessment meta-model, and fitting sample data by adopting a BP neural network model improved by a particle swarm algorithm to obtain a simplified meta-model of the efficiency assessment problem meeting the precision requirement; A; and an extended fast Fourier transform global sensitivity analysis algorithm is used to evaluate the analysis efficiency problems and sort the analysis efficiency problems from large to small. The method is suitable for digital modeling of the efficiency evaluation problem, rapid analysis of the sensitivity of the efficiency evaluation index and miningof the key battle technical index influencing the battle efficiency of the equipment.
Owner:SHANGHAI INST OF ELECTROMECHANICAL ENG
High-speed pantograph key parameter identification method based on sensitivity analysis
InactiveCN108229045AHigh movement precisionReduce the cost of optimized designDesign optimisation/simulationSpecial data processing applicationsProcess engineeringSensitivity analyses
The invention discloses a high-speed pantograph key parameter identification method based on sensitivity analysis. A Sobol' global sensitivity analysis method is adopted, a first-order sensitivity value, a second-order sensitivity value and a total sensitivity value of high-speed pantograph structural parameters for a pantograph bow motion track are deducted, the influence of different high-speedpantograph structural parameters on the high-speed pantograph dynamic lifting displacement is analyzed, and thus key structural parameters of the high-speed pantograph net current collection quality are determined; then which design parameters are the most effective is determined, and design parameters are reasonably selected. Compared with a traditional high-speed pantograph optimization and design method, the optimization and design process can be greatly simplified to improve the slide contact property of a high-speed pantograph net by the greatest margin.
Owner:SOUTHWEST JIAOTONG UNIV
A multi-objective calibration method of distributed hydrological model parameters based on parallel computation
InactiveCN109086479AAddressing Individual SensitivitySolve efficiency problemsDesign optimisation/simulationSpecial data processing applicationsOpen sourceModel parameters
Owner:ZHEJIANG UNIV
Extended Fourier amplitude based extraction method of machine tool important geometric error source
The invention discloses an extended Fourier amplitude based extraction method of a machine tool important geometric error source. Based on error measuring data, by use of an index matrix form of a screw theory, on the basis of the topology structure of a machine tool, an integral space error model of the machine tool is established, a high-order term of the error model is eliminated, and a basis equation of the error model is obtained. According to an EFAST global sensitivity analysis method, through selecting a proper conversion function, the error model is converted into a one-dimensional function from an eighteen-dimensional function, Fourier series expansion is carried out on the one-dimensional function, and a model caused by each parameter and a total variance of model output can be obtained. The EFAST method can simultaneously examine the influences exerted by change of multiple geometric errors on the result of a spinor error model and can also analyze the direct and indirect influences exerted by change of each geometric error on the model result, and the method provided by the invention can be applied to extraction of key geometric error terms having quite large influences on processing precision of the machine tool.
Owner:BEIJING UNIV OF TECH
Analysis method for influence factors of carbon dioxide concentration prediction at any time-space position
ActiveCN113919448AAccurate and fast regional carbon dioxide concentration distribution predictionEnsemble learningCharacter and pattern recognitionWeather factorSensitive analysis
The invention provides an analysis method for influence factors of carbon dioxide concentration prediction at any time-space position. The method comprises the following steps of: on the basis of sparse and non-uniform satellite carbon dioxide column concentration observation data, corresponding environmental factors including a ground cover factor, a climate and weather factor and a combustion emission factor, and an XGBoost algorithm, constructing a model for simulating spatial and temporal distribution of carbon dioxide in a region, and extracting carbon dioxide temporal and spatial distribution trend variables; and realizing quantitative evaluation of environmental factor sensitivity by utilizing the constructed regional carbon dioxide spatial and temporal distribution model and a global sensitivity analysis algorithm, and quantitatively determining influence degrees and magnitudes of various environmental factors influencing regional carbon dioxide spatial and temporal distribution according to a sensitivity analysis result. Compared with a traditional method, the method can simulate regional carbon dioxide concentration distribution with high precision, and achieve quantitative evaluation of the importance degrees of the environmental variables.
Owner:WUHAN UNIV
Reliability global sensitivity analysis method based on chaos polynomial expansion
InactiveCN106096138AGuaranteed accuracySmall amount of calculationDesign optimisation/simulationSpecial data processing applicationsFunctional RelationshipDependability
The invention discloses a reliability global sensitivity analysis method based on chaos polynomial expansion. The method includes the following steps that 1, the key input parameter and the key output parameter are determined according to input parameters and output parameters of a model to be analyzed; 2, chaos polynomial expansion used for representing the functional relationship between the key input parameter and the key output parameter and meeting the preset conditions is constructed; 3, the reliability numerical value of chaos polynomial expansion is calculated; 4, according to the reliability numerical value, reliability chaos polynomial expansion is constructed; 5, a reliability global sensitivity analysis index is analyzed based on the Sobol' index. The reliability global sensitivity analysis method has the advantages that calculation quantity of global sensitivity analysis can be substantially reduced, analysis results are high in accuracy and meet engineering practice better, and cross influence on global reliability by the different input parameters can be embodied.
Owner:CSR ZHUZHOU ELECTRIC LOCOMOTIVE RES INST
Method for analyzing global sensitivity of movement mechanism
InactiveCN108052767AImprove fitHigh precisionGeometric CADSpecial data processing applicationsMotion errorErrors and residuals
The invention provides a method for analyzing the global sensitivity of a movement mechanism, and the method is applied to the movement mechanism containing a gap. The method includes the following steps that according to a preset input variable and a preset output variable, an actual motion relational expression and an ideal motion relational expression are determined, according to the actual motion relational expression and the ideal motion relational expression, a motion error function is determined, an envelope function is determined based on the motion error function, through the combination of the envelope function and a global sensitivity calculation formula, a calculation formula of each sensitivity index is determined, and based on the calculation formula of each sensitivity index, global sensitivity analysis is conduced on one movement mechanism containing the gap. The global sensitivity analysis method based on the envelope function is provided, and on one hand, the consistency of obtained data is high and the accuracy is high, on the other hand, the method is small in calculation cost; the calculation efficiency is higher, the calculation cost is relatively low, and themethod thus has high practicability and theoretical guidance effects.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Machine tool geometric accuracy optimization method based on value analysis method
The present invention discloses a machine tool geometric accuracy optimization method based on a value analysis method. The method based on a value analysis method is characterized in that: a method for combining the global sensitivity analysis of machine tool machining accuracy and the geometric error correlation analysis is used to analyze each error item of the four-axis machining centers. Themethod comprises that: the geometric error modelling is carried out on the four-axis machine tool by using the homogeneous transformation matrix method; then the global sensitivity analysis and correlation analysis are carried out on the machining accuracy of the numerical control machine tool to determine the influence degree of each error item on the machine tool machining accuracy and determinethe function coefficient and the cost coefficient in the value analysis method; an accuracy distribution optimization model of the geometric error of the machine tool is established; and according tothe value analysis method, optimized design is carried out on the machine tool machining accuracy.
Owner:BEIJING UNIV OF TECH
Colorimetric fluorescent probe for supersensitive analysis of mercury ions and preparation method thereof
InactiveCN107033158ARealize quantitative detectionAchieving selective recognitionOrganic chemistryFluorescence/phosphorescenceFluorescenceSensitivity analyses
The invention relates to a colorimetric fluorescent probe for supersensitive analysis of mercury ions and a preparation method thereof. Concretely, the probe is a thiocarbonic acid phenyl ester compound, and the compound can be used as the mercury ion colorimetric fluorescent probe for detection of mercury ions. The probe can be used for realizing at least one of following technical effects: identification of mercury ions with high selectivity; rapid response of mercury ions; high sensitivity analysis of mercury ions; stable property, and long-term preservation and usage; high anti-interference capability.
Owner:UNIV OF JINAN
Global sensitivity analysis method for parameters of a two-stage thermoelectric refrigerator based on response quantity variance
PendingCN109740188AReduce the impactImprove reliabilityComplex mathematical operationsProcess engineeringDependability
The invention relates to a global sensitivity analysis method for parameters of a two-stage thermoelectric refrigerating machine based on response quantity variance, the influence of fluctuation of design parameters of the two-stage thermoelectric refrigerating machine on the refrigerating performance of the two-stage thermoelectric refrigerating machine is studied through the global sensitivity analysis method, and a global sensitivity main index and a total index of the design parameters are calculated. In the actual manufacturing and using process of the thermoelectric refrigerating machine, design parameters are often fluctuated. The global sensitivity analysis can guide designers to carry out reasonable parameter design and resource distribution, and the influence of design parameterfluctuation on the system performance is reduced to the minimum, so that the reliability of the system in an uncertain environment is improved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Civil aircraft mechanism global sensitivity analytical method based on random parameter-neural network
The invention relates to a civil aircraft mechanism global sensitivity analytical method based on a random parameter-neural network. The technical purpose is to improve the system robustness of a slat mechanism of a civil aircraft. A performance degradation mechanism in which abrasion is adopted as a principal mode is considered, and global sensitivity analysis is conducted on typical parts of the slat mechanism. An artificial intelligent neural network technology is introduced, and through the combination of a random parameter method, a function relation of input parameters of the slat mechanism and output response is obtained, and through the global sensitivity analytical method, a global sensitivity index of the influence of input variables of the slat mechanism on system response is obtained.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Dynamic control method for tunnel construction progress based on global comprehensive sensitivity analysis
ActiveCN104834986ARealize dynamic controlImprove construction accuracyResourcesMonitoring and controlSensitivity analyses
The invention discloses a dynamic control method for a tunnel construction progress based on a global comprehensive sensitivity analysis. The dynamic control method comprises the steps of determining a sensitivity analysis input parameter based on a tunnel construction simulating model, and preprocessing the parameter; performing a multi-factor sensitivity analysis of a tunnel construction period; performing a global sensitivity analysis of the tunnel construction period; performing engineering language transformation on a sensitivity analysis result; and performing real-time dynamic monitoring and controlling on the tunnel construction period. The dynamic control method has functions of realizing dynamic control for the tunnel construction progress, finding unreasonable construction configurations and construction solutions, dynamically adjusting the construction solutions, improving engineering construction precision, performing sensitivity analysis and dynamic control on all parameters which may cause tunnel construction period change, realizing comprehensive understanding for the construction period influence by construction parameters and work procedure duration time, further acquiring more critical parameter in a parameter assembly, and effectively ensuring checking for a construction machinery configuration solution.
Owner:TIANJIN UNIV
Aircraft wing structure global sensitivity analysis method based on support vector machine
The invention discloses an aircraft wing structure global sensitivity analysis method based on a support vector machine, which comprises the specific links of: 1, obtaining sampling points by adoptingan experimental design method based on a CVT (Centroidal Voronoi Tessellation) structure, and obtaining an output value of an aircraft wing finite element model at each corresponding point; 2, carrying out normalization on input variables and output responses; 3, according to distribution of random input variables of a wing structure and numerical characteristics thereof, sampling two groups of input samples to denote as matrices A and B; 4, constructing a matrix Ci, wherein the matrix is obtained after an ith column of the matrix B is replaced with an ith column of the matrix A; 6, by utilizing an aircraft wing proxy model constructed by the support vector machine, calculating wing structure output responses corresponding to the matrices A, B and Ci, and after normalization inversion, respectively denoting as yA, yB and (with reference to the specification); 6, according to a simplification MC method, calculating importance degree indexes si and (with reference to the specification)of each input variable; and 7, carrying out sorting on importance degrees of the input variables so as to provide guidance for reliability analysis, prediction and optimization of the wing structure.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Field line coupling uncertainty quantification and global sensitivity calculation method
ActiveCN111797541AEfficient analysis and calculationReduce computing costDesign optimisation/simulationSpecial data processing applicationsElectrical conductorRadiation sensitivity
The invention relates to a field line coupling uncertainty quantification and global sensitivity calculation method. An adaptive hyperbolic truncation scheme is combined with a minimum angle regression method to carry out sparse processing on a generalized chaotic polynomial, an agent model is established to analyze the uncertainty problem of the radiation sensitivity of a multi-conductor transmission line, and the global sensitivity of an input variable is analyzed by a global sensitivity analysis method. According to the scheme, on the premise that the calculation precision is guaranteed, related statistical characteristic parameters and the like in the uncertainty problem of the radiation sensitivity of the multi-conductor transmission line can be rapidly and accurately calculated, andthe scheme is effective when the total sensitivity index and the first-order sensitivity index of the radiation sensitivity of the multi-conductor transmission line are calculated.
Owner:JILIN UNIV
Method and system of identification of most influential design variables in engineering design optimization
InactiveCN102222125ADesign optimisation/simulationMulti-objective optimisationGraphicsVariable versus
A method of identifying most influential design variables in a multi-objective engineering design optimization of a product is disclosed. According to one aspect of the present invention, a product is optimized with a set of design variables and a set of response functions as objectives and constraints. Representative product design alternatives (samples) are chosen from the design space and evaluated for responses. Metamodels are then used for fitting the sample responses to facilitate a global sensitivity analysis of all design variables versus the response functions. A graphical presentation tool is configured for allowing the user to conduct 'what-if' scenarios by interactively applying respective weight factors to response functions to facilitate identification of most influential design variables. Engineering design optimization is then conducted in a reduced design space defined by the most influential design variables.
Owner:LIVERMORE SOFTWARE TECH
Fatigue performance prediction method based on machine learning
PendingCN112214933AImprove accuracyReduce testing costsKernel methodsDesign optimisation/simulationEngineeringModel parameters
The invention discloses a fatigue performance prediction method based on machine learning. The method comprises the steps: firstly collecting material data to form initial sample data, employing a Sobol global sensitivity analysis method to evaluate the contribution degree of each feature variable to an output variable variance, carrying out the sorting of the importance of the feature variables,screening out key feature variables, and forming training sample data; dividing the training sample data into a training set, a verification set and a test set for training the model; performing modeltraining learning based on the training set and verification set data, obtaining corresponding model parameters, outputting a model trained based on existing training set / verification set learning, quantitatively evaluating model prediction performance by adopting a determination coefficient R2, completing establishment of the model, and performing fatigue performance prediction by utilizing thetrained model. According to the method, the nonlinear corresponding relation between the material information and the fatigue performance is established by utilizing the more comprehensive material information, and the method is applied to fatigue performance prediction of a higher-precision and generalized environment.
Owner:集萃新材料研发有限公司 +1
Energy consumption anomaly positioning method based on sensitivity analysis and improved negative selection method
ActiveCN110930012AHigh positioning accuracyHigh precisionTechnology managementCharacter and pattern recognitionSensitive analysisMachine
The invention discloses an energy consumption abnormity positioning method based on sensitivity analysis and an improved negative selection method, and the method comprises the steps: collecting the energy consumption data of a hydraulic machine under each energy consumption influence factor, carrying out the quantitative analysis of the energy consumption influence factors through employing a global sensitivity analysis method, and calculating the main influence factors of the energy consumption of the hydraulic machine; setting corresponding labels for the abnormal energy consumption data according to main influence factors, and performing data preprocessing; activating a matched detector by adopting the training set energy consumption data and marking a corresponding abnormal mode for the detector to generate a classifier set; wherein the abnormal mode corresponds to different energy consumption main influence factors; optimizing the classifier set by adopting a simulated annealingalgorithm; and carrying out energy consumption anomaly positioning on the energy consumption data of the test set by utilizing the optimized classifier set. According to the invention, whether the mode abnormality exists in the energy consumption data can be detected, and the type of the mode abnormality can be identified, so that the positioning function of the energy consumption abnormality is realized.
Owner:GUANGDONG UNIV OF TECH
Method for estimating yield of winter wheat by assimilating characteristics of leaf area index time-sequence curve
Owner:CHINA AGRI UNIV
A power distribution network reliability influence factor analysis method and system
ActiveCN112906251AOvercoming the disadvantage of the importance of the reliability impactDesign optimisation/simulationConstraint-based CADGrey correlation analysisSensitive analysis
The invention relates to the field of power system data analysis methods, and provides a power distribution network reliability influence factor analysis method and system, and the method comprises the steps of constructing a Kriging model, obtaining a series of to-be-tested influence factors, and generating a series of prediction reliability indexes for the series of to-be-tested influence factors through the Kriging model; using a Sobol index method for carrying out global sensitivity analysis on a series of influence factors to be measured and a series of prediction reliability indexes corresponding to the series of influence factors to be measured, obtaining the sensitivity index of any influence factor and the sensitivity indexes of all the influence factors, the sensitivity indexes reflecting the importance degree of the influence factors to the reliability of the power distribution network. The invention overcomes the defect that an entropy weight method and a grey correlation analysis method cannot quantify the importance degree of the influence factors on the reliability of the power distribution network, and realizes the quantification of the importance degree of the influence factors on the reliability of the power distribution network.
Owner:YUNNAN POWER GRID
Global sensitivity analysis method of single-stage thermoelectric refrigeration system based on moment independence
PendingCN110210075AReduce uncertaintyReduce the impact of stabilityDesign optimisation/simulationMachines using electric/magnetic effectsSingle stagePhysical model
The invention relates to a global sensitivity analysis method of a single-stage thermoelectric refrigeration system based on moment independence. For the global sensitivity analysis method, on the basis of considering a single-stage thermoelectric refrigeration system physical model under the influence of external heat transfer, a moment independent global sensitivity analysis model is established; an improved Monte Carlo simulation method is adopted to study independent torque sensitivity indexes of design variables for the refrigerating capacity and the refrigerating coefficient; and a single-stage thermoelectric refrigerating system is designed and improved according to a calculation result, so that the reliability of the system can be effectively improved, and important research significance and application value are achieved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
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