Optimization reliability test design modeling based on information fusion

ZHANG An-yang; LIU Qi

doi:10.13224/j.cnki.jasp.2016.02.010

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Optimization reliability test design modeling based on information fusion

更新时间：2026-07-07

- Optimization reliability test design modeling based on information fusion
- Vol. 31, Issue 2, Pages: 330-336(2016)
- 作者机构：
  
  国防科学技术大学信息系统与管理学院,长沙,410073
- 作者简介：
- 基金信息：
- DOI：10.13224/j.cnki.jasp.2016.02.010
  CLC：
- Published：2016
- 稿件说明：
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张安扬, 刘琦. 基于信息融合的系统可靠性优化试验设计模型[J]. 航空动力学报, 2016, 31(2): 330-336.

doi: 10.13224/j.cnki.jasp.2016.02.010
张安扬, 刘琦. 基于信息融合的系统可靠性优化试验设计模型[J]. 航空动力学报, 2016, 31(2): 330-336. DOI： 10.13224/j.cnki.jasp.2016.02.010.

doi: 10.13224/j.cnki.jasp.2016.02.010 DOI：

摘要

分析了现今可靠性试验设计的不足

考虑两类风险(弃真风险、采伪风险)建立了基于信息融合的可靠性优化试验设计模型(ORTIF

optimization reliability test design modeling based on information fusion).分析了可靠性试验设计的需求、约束条件

基于子系统和系统验前分布是Beta分布

提出了可靠性系统中子系统层与系统层之间的信息融合技术.根据验后风险准则

给出弃真和采伪风险的定义.基于Matlab软件给出了最优试验方案数值计算的求解步骤.最后以液态火箭发动机为例

求解出满足约束条件的最优试验方案为(9

对应的最小试验费用为3326.9

并得出权值方案对试验方案的确定影响较大的结论.

Abstract

The current lack of reliability test design was analyzed by considering two types of risk(producer's risk and consumer's risk)

and the optimization reliability test design modeling based on information fusion (ORTIF) was constructed. Also

the requirements and constraint conditions of reliability test design were analyzed

the information fusion technology between subsystems and systems was presented on the basis that the prior distributions were Beta distribution. According to posteriori risk criteria

the definition of producer's risk and consumer's risk were given. The solution steps of optimum test plan were given by Matlab software. At last

an example of liquid rocket engine was given. The optimum test plan (9

1) and its cost of 3326.9 were obtained respectively

and it was also concluded that the weight plan has a great influence on the optimum test plan.

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Related Institution

College of Information Systems and Management, National University of Defense Technology

State Key Laboratory of Robotics and System，Harbin Institute of Technology

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军械工程学院车辆与电气工程系

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