Bayes principle-based complex experiment uncertainty evaluation method

A deterministic and complex technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., to achieve the effect of improving product inspection level, high product quality, and ensuring quality requirements

Inactive Publication Date: 2017-09-01
UNIV OF SHANGHAI FOR SCI & TECH +1
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Problems solved by technology

[0004] The present invention aims at the reliability of complex tests that rely on complex tests to verify product quality, and proposes a complex test uncertainty evaluation method based on the Bayesian principle. When complex tests give test results, Able to give its experimental uncertainty, and evaluate the experimental results, so as to formulate an experimental improvement plan

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  • Bayes principle-based complex experiment uncertainty evaluation method
  • Bayes principle-based complex experiment uncertainty evaluation method
  • Bayes principle-based complex experiment uncertainty evaluation method

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Embodiment Construction

[0028] Such as figure 1 The flow chart of the method for evaluating the uncertainty of complex experiments based on the Bayesian principle is shown, and the specific scheme is as follows:

[0029] 1. Determine the measurand Y of the complex test and the main influencing factors X=[x 1 ,x 2 ,...,x n ].

[0030] 2. Obtain the influencing factor x of the complex test i The probability density distribution function gx of i (ξ( i ), ξ i is the measured value of the influencing factor.

[0031] 3. Adopt the Latin hypercube sampling method according to the probability density function gx of the influencing factors i (ξ( i ) to carry out experimental sampling, and obtain the experimental design table D of the influencing factors n , conduct experiments according to the parameters of the design table, and obtain the result Y of the complex experiment under each input parameter i .

[0032] 4. Evaluate the uncertainty of complex experiments based on the Bayesian principle: ...

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Abstract

The invention relates to a Bayes principle-based complex experiment uncertainty evaluation method. The method comprises the following steps of: determining that a complex experiment is measured and determining main influence factors of the complex experiment; obtaining probability density distribution functions of the influence factors of the complex experiment; carrying out experiment sampling according to the probability density distribution functions of the influence factors by adoption of a Latin hypercube sampling method, so as to obtain an experiment design table of the influence factors, and carrying out experiment according to parameters of the design table to obtain a result of the complex experiment under each input parameter, wherein a part of data of the experiment result is used as prior samples and the other part is used as currently measured samples; calculating a mean value of the prior samples and a standard difference of the mean value, and a mean value of the currently measured samples and a standard difference of the mean value; and calculating a measured truth value, a standard uncertainty and a comprising interval corresponding to a comprising probability via posterior distribution, and taking the calculation result to evaluate the uncertainty. According to the method, when experiments results of complex experiments are given, the experiment uncertainties can be given and the experiment results can be evaluated, so that experiment improvement schemes can be made.

Description

technical field [0001] The invention relates to a mechanical engineering test, in particular to a method for evaluating the uncertainty of complex tests based on the Bayesian principle. Background technique [0002] With the development of the machinery industry, people have higher and higher requirements for product quality, so many products need to carry out relevant tests to check the qualification and reliability of the products. Many of these tests are complex tests. The general feature of complex tests is that there are many factors affecting the test results, and small changes in each factor will cause the uncertainty of the test results. If there is no clear measurement standard for the uncertainty of the test results, Will reduce the reliability of the test results. Therefore, it is necessary to study the uncertainty analysis method for complex test results in order to improve the credibility of the test results. [0003] At present, the commonly used uncertainty ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/23G06F2111/10
Inventor 丁晓红王海华朱大业王神龙余慧杰徐峰
Owner UNIV OF SHANGHAI FOR SCI & TECH
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