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Small sample products reliability verification method based on maximum entropy experimental methods

A verification method and reliability technology, applied in the direction of strength characteristics, testing of machine/structural components, instruments, etc., can solve problems such as large test sample size, and achieve the effect of high test efficiency, extensive engineering application value, and small sample size

Inactive Publication Date: 2010-09-22
BEIJING UNIV OF TECH
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Problems solved by technology

[0004] In the above two test methods, the load or bearing capacity of the sample is the design value, and the test entropy contained in a single sample is very small. Therefore, whether it is a success or failure test method with zero failures or a Bayesian test method , when the reliability and confidence requirements of the product are very high, the test sample size required by these two test methods is very large, although the latter can save about 30% of the sample size compared with the former, but users still unbearable

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  • Small sample products reliability verification method based on maximum entropy experimental methods
  • Small sample products reliability verification method based on maximum entropy experimental methods
  • Small sample products reliability verification method based on maximum entropy experimental methods

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Embodiment Construction

[0024] The well-known reliability engineering uses stress and strength models based on normal distribution. If the concepts of stress and strength are expanded and the reliability of products is described by load and carrying capacity, whether it is electrical products or mechanical products , or the reliability of mechanical and electrical products, can be analyzed and studied with the concept of load and carrying capacity.

[0025] Such as figure 1 Shown, the present invention mainly comprises the following steps:

[0026] Step 1: Determine the mean value μ and mean square deviation σ of the product load, or the mean value μ and mean square deviation σ of the product’s bearing capacity, and determine the appropriate load intensification factor K according to the purpose and requirements of the test;

[0027] Step 2: Substitute the load intensification coefficient K, mean value μ, mean square deviation σ determined in step 1, and the product reliability requirement R and con...

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Abstract

This invention discloses one small sample product reliability validation method based on maximum entropy method, which comprises the following steps: a, determining product load or load ability even value mu and even variance sigma to determine proper load strengthen parameter K; b, according to product reliability need R and credulity require r by use of needed sample computation formula to get needed sample N; c, processing success test on N sample; d, testing the product reliability.

Description

technical field [0001] The invention relates to a method for verifying the reliability of a small-sample product, in particular to a method for verifying the reliability of a small-sample product by using the principle of information entropy. From the perspective of information theory, the invention quantitatively analyzes the amount of information contained in the sample—the test entropy, so as to seek an effective way to solve the problem of product reliability verification with small samples. Background technique [0002] At present, in the field of product reliability testing, the most widely used reliability testing method is the success-or-failure method with zero failures. This method is simple and easy, the theoretical basis for evaluating the test results is sufficient, and the test conclusions are consistent with the actual situation of the product. However, this success-or-fail method is conservative, and the sample size required for the test is too large. Theref...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N3/00G06F19/00G01M19/00G01M99/00
Inventor 刘杰王普尹金玉
Owner BEIJING UNIV OF TECH
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