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A Method for Reliability Evaluation of Small Samples Based on Bayesian Theory

A Bayesian theory and reliability technology, applied in data processing applications, special data processing applications, instruments, etc., can solve problems such as high algorithm complexity and unsatisfactory reliability parameter evaluation results.

Active Publication Date: 2021-01-05
HARBIN ENG UNIV
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Problems solved by technology

[0006] The purpose of the present invention is to solve the two problems of unsatisfactory reliability parameter evaluation effect and high algorithm complexity in the small sample reliability evaluation process, and propose a small sample reliability based on Bayesian theory. Evaluation method

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  • A Method for Reliability Evaluation of Small Samples Based on Bayesian Theory
  • A Method for Reliability Evaluation of Small Samples Based on Bayesian Theory
  • A Method for Reliability Evaluation of Small Samples Based on Bayesian Theory

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Embodiment Construction

[0070] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to illustrations.

[0071] In recent years, in the field of small sample reliability evaluation, Bayesian theory has been widely concerned because it can effectively integrate pre-test information and field test information to make an objective evaluation of system reliability. Both at home and abroad, they are actively researching. Scholars have proposed a variety of methods and corresponding algorithms. They are aimed at specific practical problems and have their own characteristics. Based on previous studies, the present invention aims at the low accuracy rate of information conversion effect of the existing similar system conversion method based on failure rate estimation and environmental factor conversion method and the execution efficiency of th...

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Abstract

The present invention relates to a small sample reliability evaluation method based on a Bayesian theory. The method comprises the following steps: (1) performing system initialization, and inputtingpre-test information; (2) classifying the pre-test information; (3) analyzing an existing conversion method of similar system information, and using the D-S evidence theory and the F-HS based algorithm to perform analysis respectively; (4) using a hybrid pre-test distribution model; (5) determining a Bayesian reliability model of field test information; (6) integrating the field test information with the pre-test information through the Bayesian method to obtain an effective distribution model; (7) using a Gibbs sampling algorithm to obtain a sample value of a post-test distribution function;and (8) performing evaluation and estimation on reliability parameters to obtain estimated values of the reliability parameters. The small sample reliability evaluation method based on the Bayesian theory proposed by the present invention shows the superiority in both the effect of pre-information conversion and the accuracy of small sample reliability evaluation.

Description

technical field [0001] The invention relates to a small sample reliability evaluation method based on Bayesian theory, which belongs to the technical field of reliability comprehensive evaluation. Background technique [0002] At present, when evaluating the reliability of a product, the life data of the product is obtained through the accelerated life test, and the reliability of the product is evaluated by using the obtained life data. However, with the development of science and technology, long-life and high-reliability products are gradually becoming the mainstream today, so the characteristics of objects that need to be evaluated for reliability are also shifting towards long-life and high reliability. Due to the long life and high reliability of the product, when evaluating the reliability of the product through the test, it is more and more difficult to obtain the life data, which causes certain difficulties for the evaluation. Aiming at this difficulty, accelerated...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G06K9/62G06F17/16G06F17/18G06Q10/06
CPCG06F17/16G06F17/18G06Q10/0639G06F16/2462G06F30/20
Inventor 王红滨侯莎宋奎勇何鸣顾镇北张海彬曾庆宇童鹏鹏苏畅朱洪瑞
Owner HARBIN ENG UNIV
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