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End-of-life data selection method for reliability evaluation

A life data and reliability technology, applied in the field of end life data selection, can solve the problems of underestimating product life and reliability, and achieve the effect of small life dispersion and high precision

Inactive Publication Date: 2018-09-21
NORTHEASTERN UNIV
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Problems solved by technology

For long-life products, the two-parameter Weibull distribution significantly underestimates the life and reliability of the product

Method used

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  • End-of-life data selection method for reliability evaluation
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  • End-of-life data selection method for reliability evaluation

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Embodiment Construction

[0052] The present invention will be further elaborated below in conjunction with the accompanying drawings of the description.

[0053] Such as figure 1 Shown, the present invention is a kind of ending life data selection method for reliability evaluation, it is characterized in that comprising the following steps:

[0054] 1) Determine the shape parameter β in the Weibull distribution function used to characterize the life of electromechanical products;

[0055] 2) Determine the position parameter γ in the Weibull distribution function used to characterize the service life of electromechanical products;

[0056] 3) Determine the scale parameter η in the Weibull distribution function used to characterize the service life of electromechanical products;

[0057]4) Write the specific expression form of product life distribution through shape parameter β, position parameter γ and scale parameter η, and then calculate the value of life mean, standard deviation and coefficient of...

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Abstract

The present invention relates to an end-of-life data selection method for reliability evaluation. The method comprises a step of determining a shape parameter beta in a Weibull distribution function for characterizing the life of an electromechanical product, a step of determining a position parameter gamma in the Weibull distribution function for characterizing the life of the electromechanical product, a step of determining a scale parameter eta in the Weibull distribution function for characterizing the life of the electromechanical product, a step of writing a specific expression form of product life distribution through the shape parameter beta, the position parameter gamma and the scale parameter eta and then calculating and obtaining a life mean value and a standard deviation of theelectromechanical product and the value of a variation coefficient, and a step of selecting cut-off test data according to the life mean value and the standard deviation of the electromechanical product and the value of the variation coefficient. According to the method, based on a sampling idea, a new method for reliability evaluation of a bearing is proposed under the condition that the shape parameter is known, three-parameter Weibull distribution is used for fitting and parameter estimation, higher precision is achieved, and the actual situation of the reliability of the product can be reflected.

Description

technical field [0001] The invention relates to a product reliability evaluation technology, in particular to a method for selecting end-life data for reliability evaluation. Background technique [0002] In recent years, more and more attention has been paid to product reliability evaluation based on no-failure data. Statistical analysis of natural function and degenerate failure models, etc. Martz and Waller first proposed a reliability control test method for non-failure data under the condition of exponential distribution. According to the risk criterion of posterior distribution, the prior distribution of failure probability is selected, and then the estimation of failure probability is obtained. Zhao Haibing et al [3] extended the probability estimation method of failure rate, proposed the least square estimation and Bayes estimation method of the distribution type of failure rate probability in Weibull distribution and normal distribution, and verified the validity a...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06
CPCG06Q10/06393G06Q10/06395
Inventor 谢里阳吴宁祥李海洋
Owner NORTHEASTERN UNIV
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