Qualification test risk analysis of binomial equipment based on Bayes theory

被引：0

作者：

Li D. ^{[1
]}

Wang G. ^{[1
]}

Li Y. ^{[1
]}

机构：

[1] 41st Division, Unit 91550 of the Chinese People's Liberation Amry, Dalian

来源：

Hangkong Dongli Xuebao/Journal of Aerospace Power | 2021年 / 36卷 / 01期

关键词：

Average risk; Bayes theory; Binomial equipment; Posterior risk; Qualification test;

D O I：

10.13224/j.cnki.jasp.2021.01.018

中图分类号：

学科分类号：

摘要：

The qualification test risk of binomial equipment was investigated by Bayes theory to assess the performance index and establish qualification test scheme. The Beta distribution was chosen as prior distribution. The expressions of average risk and posterior risk were given. The research ideas and applications of two kinds of risk were explained. On this basis, the max posterior risk model was developed through investigating the result of qualification test. The max. posterior risk's properties were given. Compared with posterior risk and classical risk, it demonstrated the conservation and feasibility of max. posterior risk. So the consumer benefit was protected. The test statistics scheme based on max. posterior risk conformed to the engineering rule. The test number decreased by 18%-63%, compared with test statistics scheme based on classical risk. It also analyzed the number relation between three kinds of risk and prior information, interval estimation. The properties of max. posterior risk were demonstrated, showing its wide application. © 2021, Editorial Department of Journal of Aerospace Power. All right reserved.

引用

页码：157 / 166

页数：9

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