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Reliability interval estimation method based on proportion grouping re-sampling

A technology of interval estimation and reliability, which is applied in computing, special data processing applications, instruments, etc., and can solve problems such as inability to calculate

Inactive Publication Date: 2015-07-01
BEIHANG UNIV
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Problems solved by technology

[0006] (1) Purpose of the present invention: when the present invention carries out high censored ratio life data reliability interval estimation for Bootstrap method, there will often be no failure samples in the data re-sampling process, resulting in the problem that the method cannot be calculated, and proposes a A reliability interval estimation method for life data with high censored ratio based on proportional grouping resampling to supplement and improve the Bootstrap method to realize reliability interval estimation for life data with high censored ratio

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  • Reliability interval estimation method based on proportion grouping re-sampling
  • Reliability interval estimation method based on proportion grouping re-sampling
  • Reliability interval estimation method based on proportion grouping re-sampling

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Embodiment Construction

[0023] In the present invention, a method for estimating the reliability interval of high censored proportion life data based on proportional grouping and resampling, its flow chart is as follows figure 1 shown.

[0024] Taking the life test data of the flight control computer of a certain type of agricultural aircraft as an example, the present invention will be further described in detail.

[0025] The flight control computer life test of a certain type of agricultural aircraft consists of two parts, namely laboratory test and field test. The tests are all random censored tests, and two sets of life test data are obtained. The data are shown in Table 1. The data without "+" in the table is the failure time of the equipment, and the data with "+" is the censored data. For example: 2160+ means that the equipment does not fail when the total test time reaches 2160 hours in the field test, and 1080+ means that the equipment does not fail when the total test time reaches 1080 ho...

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Abstract

The invention discloses a high-proportion censored data reliability interval estimation method based on proportion grouping re-sampling. The method includes the steps that firstly, life test data are grouped into complete data and censored data; secondly, repeated sampling is conducted according to a specific proportion; thirdly, distribution parameters and reliability point estimations are obtained; fourthly, repeated re-sampling is conducted by the adoption of a Bootstrap method, and corresponding distribution parameters and reliability point estimations are calculated; fifthly, the obtained reliability point estimations are sequenced, and then the reliability interval estimation is obtained. The method avoids appearance of zero-failure data in the process of repeated re-sampling, and normal operation of the method is guaranteed; the method needs less theoretical knowledge, is easy and convenient to calculate, is easy to implement, facilitates use of engineering technicians and has good application value.

Description

technical field [0001] The invention relates to a reliability interval estimation method based on proportional grouping resampling, which relates to a method for estimating the reliability interval of high censored life data based on proportional grouping resampling, which can effectively perform distribution parameters and reliability of censored data It is suitable for reliability evaluation, medical statistics and other related technical fields. Background technique [0002] Reliability interval estimation is a form of reliability parameter estimation. By taking samples from the product, conducting relevant reliability tests, and performing data processing according to certain accuracy and accuracy requirements, an appropriate interval is constructed as a product overall. An estimate of the range in which the true value of reliability lies. [0003] In traditional statistical inference, the pivot quantity is generally used to construct the interval estimation of the reli...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨军王浩赵宇
Owner BEIHANG UNIV
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