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Method for evaluating service life and reliability of product based on zero-failure data

A technology with no failure data and product life, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as uncertainty, inaccurate reliability evaluation, and unknown product life probability distribution, so as to avoid malignant Accidents, the effect of finding hidden failures

Inactive Publication Date: 2014-06-25
HENAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method for evaluating product life and reliability based on non-failure data, so as to solve the problem that the probability distribution of product life is unknown, uncertain or very complicated, and the reliability evaluation is inaccurate

Method used

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  • Method for evaluating service life and reliability of product based on zero-failure data
  • Method for evaluating service life and reliability of product based on zero-failure data
  • Method for evaluating service life and reliability of product based on zero-failure data

Examples

Experimental program
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Embodiment 1

[0068] Example 1 : This is a case of data reliability evaluation of missile without failure. The failure of a certain type of missile is checked, and the non-failure data obtained are shown in Table 1. According to experience, the probability distribution of the life of this type of missile is considered to be an exponential distribution (see: Processing method of a certain type of missile without failure data, Tactical Missile Technology, 2004, (3): 29-32).

[0069] Table 1 Non-failure data of a certain type of missile

[0070]

[0071] Through this embodiment 1, the specific operation steps and calculation process of the present invention will also be described.

[0072] (1) Collection of non-failure data of individual products

[0073] Carry out failure inspection on a certain type of missile, and obtain the non-failure data of this type of missile X ( m =19), namely formula (1):

[0074] X =(0.5, 0.5, 1.0, 1.0, 1.0, 1.5, 1.5, 1.5, 2.0, 2.0, 2.0, 2.0, 2.5, 2.5, ...

Embodiment 2

[0087] Example 2 : This is a case of hydraulic pump reliability assessment without failure data. The life test of a certain type of hydraulic pump is carried out, and the non-failure data obtained are shown in Table 2. According to experience, the probability distribution of the life of this type of hydraulic pump is considered to be a logarithmic normal distribution (see: Bayesian estimation of failure probability and its application, Journal of Engineering Mathematics, 2001, 18(3): 27-31).

[0088] Table 2 Non-failure data of a certain type of hydraulic pump

[0089]

[0090] For the evaluation results, see Figure 5~Figure 7 ( c =0.1, B =10000).

[0091] Assume x =500h, by Figure 7 The reliability of the hydraulic pump life can be obtained when it is 500h R = R (500)=0.984=98.4%.

[0092] The above are the evaluation results of the present invention.

[0093] In order to compare with the existing reliability evaluation method, under the assumption that the ...

Embodiment 3

[0095] Example 3 : This is a case of a small sample of electronic product life with unknown probability distribution and no failure data. Carry out a simulation test on an electronic product and obtain no failure data X for( m =10):

[0096] X=(14.01, 15.38, 20.94, 29.44, 31.15, 36.72, 40.32, 48.61, 56.42, 56.97)

[0097] For the evaluation results, see Figure 8~Figure 10 ( c =0.1, B =10000).

[0098] Assume x =56.97, by Figure 10 ( m =10) can get the reliability when the electronic product life is 56.97 R = R (56.97)=0.9183=91.83%.

[0099] The above are the calculation results of the present invention.

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Abstract

The invention relates to a method for evaluating the service life and reliability of a product based on zero-failure data. The method comprises the following steps of: firstly collecting the time of zero-failure life of a product to obtain zero-failure data; carrying out equiprobable replaceable resampling processing on the zero-failure data of an individual product so as to generate a corresponding collateral constellation; forecasting the overall zero-failure data of the product according to the collateral constellation, and further acquiring the distribution function of the overall zero-failure data of the product; constructing the overall failure probability function of the product according to the number of the zero-failure data of the individual product and the distribution function of the overall zero-failure data of the product; and acquiring the overall reliability function of the product according to the overall failure probability function of the product to finally realize the evaluation on the service life and reliability of the product on the basis of the zero-failure data. According to the invention, only based on a little amount of zero-failure data, the overall failure probability function of the product can be recognized effectively, the life and the reliability of the product can be evaluated, the reliability of the product can be evaluated and forecast timely, the failure hazard can be found out, and the malignant accidents can be prevented.

Description

technical field [0001] The present invention relates to a method for evaluating product life and reliability based on non-failure data, especially a product test and service of mechanical, hydraulic and electrical products with few non-failure data and lack of prior information on life probability distribution. The invention relates to a life-span and reliability evaluation method, which belongs to the technical field of product life test and product service life and reliability evaluation and prediction. Background technique [0002] Classical statistical theory holds that when evaluating product reliability, the more failure data there are, the more accurate the reliability evaluation results will be. However, for many expensive, high-reliability or very dangerous tests and tests, it is difficult to obtain failure data, such as tests and tests on aerospace vehicles and nuclear reactors. Therefore, the problem of reliability evaluation without failure data has increasingly...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00
Inventor 夏新涛
Owner HENAN UNIV OF SCI & TECH
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