Simulation model verification method based on functional data analysis

A simulation model and data analysis technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of low efficiency of multi-variable data, achieve the effect of improving estimability and data tolerance

Inactive Publication Date: 2015-05-13
BEIHANG UNIV
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Problems solved by technology

The application of traditional data analysis methods will encounter many limitations, such as: (1) the initial zero point of simulation data and real data must be the same, otherwise it is invalid; (2) the sampling interval of simulation data and real data must be the same, otherwise it is invalid; (3 ) The data length of simulation data and real data must be the same, otherwise it is invalid; (4) Traditional data analysis methods are not efficient for dealing with a large number of multivariate data generated by complex simulation systems

Method used

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  • Simulation model verification method based on functional data analysis
  • Simulation model verification method based on functional data analysis
  • Simulation model verification method based on functional data analysis

Examples

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Embodiment

[0085] Embodiment: The present invention selects a flight simulator model as the verification object, and verifies the key output parameters displacement and velocity of a flight simulation according to the analysis process of the simulation model verification automation analysis tool. The corresponding data preprocessing method, model verification method and automatic analysis method are adopted, and the implementation process and effectiveness of the automatic analysis tool for simulation model verification are analyzed with examples.

[0086] Step 1: Fit the data to a function using the basis function method.

[0087] The basis function method is used to fit the data into a function, and the output of the simulation model and the output of the real system are regarded as two random processes, and multiple sets of data can be recorded for the simulation model and the real system for analysis. Record the output of the simulation model and the output of the real system as: X ...

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Abstract

The invention provides a simulation model verification method based on functional data analysis, and belongs to the field of simulation model verification. According to the method, output of a simulation model and output of a real system are regarded as two random processes, weighting functions are added to construct aggregative indicators, and the correlation coefficient of the two aggregative indicators is used for describing the output correlation of the simulation model and the real system. The method includes the steps that simulation data and real data are recorded first, data fitting is conducted, then a set of primary functions are selected, the fitting function and the weighting functions are expanded through the same base, and an equation is constructed to solve the correlation coefficient. According to the simulation model verification method, the condition limits in a traditional method can be avoided, the number of depending assumed conditions is small, the depending structural constraints are weak, the model estimability is improved, data analysis support is provided for simulation model verification, and it is guaranteed that the simulation model verification work can be conducted smoothly.

Description

technical field [0001] The invention belongs to the field of simulation model verification, and in particular relates to a simulation model verification method based on functional data analysis. Background technique [0002] Simulation model verification means that for a certain simulation purpose, it is confirmed that the comparison accuracy between the behavior characteristics of the model and the behavior characteristics of the system meets the requirements. That is, to verify that the input-output transformation of the model represents the input-output transformation of the system with sufficient accuracy. In principle, the verification of the simulation model includes two contents: comparing the accuracy of the behavioral characteristics of the detection model with the system and proving that the accuracy meets the requirements specified for the purpose of simulation. The verification of the simulation model is an important method to ensure the credibility of the simul...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
Inventor 王江云杨庄媛
Owner BEIHANG UNIV
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