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Sample size extraction determination method for testability verification of airplane airborne equipment

A technology of airborne equipment and sample size, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of not considering the comprehensiveness of fault coverage, fault transferability, unfavorable testability tests, etc., to avoid work The effect is too large to ensure reliability

Active Publication Date: 2014-04-09
BEIJING AEROSPACE MEASUREMENT & CONTROL TECH
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AI Technical Summary

Problems solved by technology

[0003] The existing sample sampling method is mainly based on the reliability test, and the sample size is calculated according to the risk requirements under the binomial distribution assumption or the normal distribution assumption. In this way, the sample set established by sampling only considers the sample size requirement and does not consider The problems of fault coverage comprehensiveness and fault transferability, and the possibility of too large or too small sample size are not considered, which is not conducive to the specific implementation of test verification work

Method used

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  • Sample size extraction determination method for testability verification of airplane airborne equipment
  • Sample size extraction determination method for testability verification of airplane airborne equipment
  • Sample size extraction determination method for testability verification of airplane airborne equipment

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Embodiment 1

[0045]If the determined value of n is 3, the initial sample size is 1000, and there are 4 failure modes at this level, namely M1, M2, M3, and M4, according to the failure rate of each minimum component unit of the product at this level provided by the designer Determine the relative frequency of occurrence of the four types of failure modes, if the order is 0.2, 0.3, 0.4, 0.1;

[0046] Determine the sampling interval of the four types of failure modes according to the relative frequency of occurrence, in order of 0-199, 200-499, 500-899, 900-999

[0047] Randomly draw 1000 times within 0-999,

[0048] If the random selection is 399, it falls into the sampling interval of the M2 failure mode, and the sample size of the failure mode is increased by 1 to obtain the cumulative value of the sample size distribution of the failure mode,

[0049] Until N times are drawn, the allocation ends, and the cumulative value of the sample size allocation corresponding to the four failure mod...

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Abstract

The invention provides a sample size extraction determination method for testability verification of airplane airborne equipment. The sample size extraction determination method includes the three links of preliminary sample size determination, sample size distribution and sample size supplement. The preliminary sample size of various levels is eventually determined according to testability index parameters of different levels and added four constrained parameters of n1, n2, n3 and n4. According to the particular cases of products of various levels of the airplane airborne equipment, the upper limit is set to be 1000 for the preliminarily determined sample size, and the defects that that test workloads are too large, and the test cycle is too long are overcome. When samples are distributed, the constraint condition of calculating the minimum n (n is a positive integer) in the formula of Cpimin * 10n> / = 1 is designed, the accumulation range is provided for sample size supplement, and the samples can be conveniently distributed. Eventually, the method for supplementing samples is provided, the failure occurrence probability and failure distribution are considered, and an implementation means for test verification is considered.

Description

technical field [0001] The invention belongs to the technical field of sample sampling, and in particular relates to a method for determining the quantity of samples taken for testability verification of aircraft airborne equipment. Background technique [0002] Airborne equipment of Dayun aircraft is divided into three categories: LRU-level products, comprehensive equipment-level products and subsystem-level products. Its characteristic is that not only multiple products in the same level have mutual cross-linking relationships, but also products between different levels have complex cross-linking relationships. Therefore, the failure mode distribution and fault transfer relationship are complex, and different levels require The assessment indicators and required input parameters are also different. [0003] The existing sample sampling method is mainly based on the reliability test, and the sample size is calculated according to the risk requirements under the binomial di...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 刘丽亚厚泽潘国庆王启宁
Owner BEIJING AEROSPACE MEASUREMENT & CONTROL TECH
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