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A method for estimating reliability parameters of electromechanical components

A reliable, electromechanical technology, applied in the direction of electrical digital data processing, calculation, special data processing applications, etc., can solve the problems of not being able to accurately know the time of product failure, and not being able to obtain the numerical information of the life span

Active Publication Date: 2019-02-15
NAVAL UNIV OF ENG PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, in the non-reliability test scenarios such as product development, production, and use, it is not necessarily equipped with special online testing equipment, and the integrity of the product can only be checked regularly or irregularly, so the failure time of the product cannot be accurately known. It is impossible to obtain the numerical information of the life

Method used

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  • A method for estimating reliability parameters of electromechanical components
  • A method for estimating reliability parameters of electromechanical components
  • A method for estimating reliability parameters of electromechanical components

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Embodiment

[0059] In an embodiment, the [FT] type reliability data of a certain electromechanical part is shown in the following table. It is known from engineering experience that the life of the electromechanical part obeys the Weibull distribution. Try to estimate the scale parameters and shape parameters of the life distribution.

[0060]

[0061] According to previous experience, the scale parameter of the life distribution of the electromechanical part is in the range of 500-3000, with a step size of 500; the shape parameter is in the range of 1.1-3.8, with a step size of 0.3, and a total of 60 candidate distribution parameters are generated. (α j ,b j ),1≤j≤60, the calculation results are shown in the table below:

[0062]

[0063]

[0064] It can be seen from the table that in L j The maximum value in (1≤j≤64) is L 35 , then α 35 =2000, b 35 =2.3 is the estimated value of the life distribution parameter of the electromechanical part.

[0065] For further verifying ...

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Abstract

The invention discloses a method for estimating reliability parameters of electromechanical components, includes the following steps: step 1, determining candidate life distribution parameters, According to the distribution rule of the reliability data, determining an upper limit alpha max and a lower limit alpha min of a scale parameter and an upper limit bmax and a lower limit bmin of a shape parameter of a life Weibull distribution of an electromechanical component to be estimated, According to the upper and lower limit values, the step length d1 of the scale parameter and the step length d2 of the shape parameter are determined respectively, alfa 1j1 and b1j2 are calculated, and then alpha 1j1 and b1j2 are ergodically combined; 2, traverse that combination of the life scale parameter alpha j and the shape paramete bj and calculating a likelihood value, finding a maximum likelihood value recorded as LM, wherein the alpha M correspond to the maximum value is the estimated value of the life scale parameter, and the bM is the estimated value of the life shape parameter. The invention utilizes a small amount of reliability test data + a large amount of data generated in the stages of product development, production and use to estimate the distribution law of product life.

Description

technical field [0001] The invention relates to the technical field of reliability testing, in particular to a method for estimating reliability parameters of electromechanical components. Background technique [0002] Reliability is the core attribute to describe product quality, and the distribution law (distribution type and parameters) of life is usually used to quantitatively describe reliability. Theoretically, by carrying out a large number of reliability tests on products, a sufficient amount of product life data can be obtained, and then mature mathematical statistics methods can be used to estimate the distribution types and parameters of product life. However, in actual work, carrying out a large number of reliability tests for products often means high economic costs and long time-consuming tests. Therefore, it is more common to use "a small amount of reliability test data + A large amount of data generated in stages", to estimate the distribution law of product...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/00Y02P90/30
Inventor 徐立张宁李华蒋涛
Owner NAVAL UNIV OF ENG PLA
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