Poor information theory fusion-based product life characteristic information extraction method

A technology of product life and characteristic information, applied in the direction of instruments, etc., can solve the problems of inability to evaluate different attribute information, inability to solve the problem of small sample evaluation of original information, and inability to solve the problem of small sample evaluation

Inactive Publication Date: 2011-06-01
HENAN UNIV OF SCI & TECH
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Problems solved by technology

Therefore, the bootstrap maximum entropy method cannot solve the small-sample evaluation problem with less than 2 information samples, nor can it solve the small-sample evaluation problem with little original information
[0010] In particular, both the maximum entropy bootstrap method and the bootstrap maximum entropy method use bootstrap sampling, which cannot solve the evaluation problem with different attribute

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  • Poor information theory fusion-based product life characteristic information extraction method
  • Poor information theory fusion-based product life characteristic information extraction method
  • Poor information theory fusion-based product life characteristic information extraction method

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Embodiment Construction

[0066] Since the experimental information and parameter information are scarce and the density function of the parameters is unknown, the product performance under study belongs to a lack of information system as a whole. Lack of information refers to the incomplete and insufficient characteristic information presented by the research object, and the lack of prior knowledge. The lack of experimental information and parameter information and the unknown density function of the parameters are typical manifestations of lack of information.

[0067] The basic idea of ​​lack of information system theory is the fusion of theory and method. Due to the lack of information, it is difficult to evaluate with only one theory and method. Different theories and methods should be used to mine different information characteristics to fully understand the lack of information system; in addition, different theories and methods have different advantages and disadvantages. , can develop strengt...

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Abstract

The invention relates to a poor information theory fusion-based product life characteristic information extraction method, which comprises the following steps of: acquiring original information of a small sample; transforming the original information into large-sample generating information by using a right self-service method and performing effective maximum likelihood processing, and acquiring maximum likelihood estimated values of large-sample content of two parameters, namely a Weibull distribution shape parameter and a scale parameter; extracting density functions of the two parameters by using a maximum entropy method; giving a confidence level, and calculating estimation intervals and expected values of the two parameters through the density functions of the shape parameter and the scale parameter respectively; and giving a failure probability, and acquiring the product life characteristic information through Weibull distribution life of the two parameters and reliability calculation thereof. The method has no requirement on completeness of the original information of the small sample, does not need priori information of the shape parameter and the scale parameter, can effectively recover total original characteristics of the product life, disclose nature of the product life information, more accurately acquire the product life characteristic information and reduce the experimental quantity of the product.

Description

technical field [0001] The invention relates to a method for extracting product life feature information, in particular to a method for extracting life feature information of rolling bearings based on fusion of lack of information theory, belonging to the technical field of product life and its reliability evaluation and prediction. Background technique [0002] Many products, such as rolling bearings, especially aerospace bearings, nuclear reactor bearings and wind power bearings, not only require life and reliability evaluation, but also require confidence interval evaluation of reliability. This is a new indicator for product accuracy life and performance life research. Theoretically, this requirement is reasonable, because according to uncertainty theory, the estimated value of any parameter has uncertainty; in addition, metrology also requires that the estimated value of any parameter should be accompanied by its confidence level and confidence interval. The calculated...

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Application Information

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IPC IPC(8): G06Q10/00
Inventor 夏新涛
Owner HENAN UNIV OF SCI & TECH
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