基于满意度的贮备多阶段任务系统可靠性优化

俞建; 胡涛; 杨春辉

基于满意度的贮备多阶段任务系统可靠性优化

海军工程大学管理工程系, 武汉 430033

基金项目: 总装预研资助项目(1010503010203)

详细信息

中图分类号: E 92
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出版历程
- 收稿日期: 2010-01-12
- 网络出版日期: 2011-03-31

Reliability optimization of standby phased mission systems based on desirability function

Department of Management, Naval University of Engineering, Wuhan 430033, China

摘要

摘要: 分析了多阶段任务系统成功运行的条件;在冷贮备系统的可靠性计算模型的基础上提出了单元是二态,失效率服从指数分布的冷贮备多阶段任务系统的可靠性计算模型;建立了系统可靠度、体积、重量和价格的子满意度函数,并利用层次分析法确定各个子满意度函数的影响因子;构建了基于综合满意度函数的贮备多阶段任务系统可靠性冗余优化模型,应用微粒群算法对模型进行求解.算例通过一个3个阶段的冷贮备系统来阐述该方法的应用,并验证了模型的合理性及算法的有效性.
- 冗余 /
- 优化 /
- 可靠性分析 /
- 微粒群算法
Abstract: A phased mission system to be a success, the system must successfully operate throughout all of the phases. A reliability computative model of cold-standby phased mission systems was proposed based on the reliability computative model of cold-standby systems, its components have two states and the time to failure of all the components obeys the exponential distribution. Considering some important effect factors of systems- reliability optimization, the sub-desirability functions of system reliability, system volume, system mass and system cost were built, and their effect modulus were determined through analysis hierarchy process method. Synthesizing these effect factors, a reliability redundancy optimization model of cold-standby phased mission systems was established based on the synthesis desirability functions. The particle swarm optimization was used to solve the reliability redundancy optimization model. The proposed solutions are verified and illustrated through a three phased cold standby system. The model-s rationality and the arithmetic-s validity were validated by the experimental results.
- redundancy /
- optimization /
- reliability analysis /
- particle swarm optimization

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参考文献(1)

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