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非完美特性下的多状态系统检测与维修优化

李志栋 张涛

李志栋, 张涛. 非完美特性下的多状态系统检测与维修优化[J]. 北京航空航天大学学报, 2017, 43(5): 951-960. doi: 10.13700/j.bh.1001-5965.2016.0386
引用本文: 李志栋, 张涛. 非完美特性下的多状态系统检测与维修优化[J]. 北京航空航天大学学报, 2017, 43(5): 951-960. doi: 10.13700/j.bh.1001-5965.2016.0386
LI Zhidong, ZHANG Tao. Optimization of inspection and repair of multi-state system under imperfect characteristics[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 951-960. doi: 10.13700/j.bh.1001-5965.2016.0386(in Chinese)
Citation: LI Zhidong, ZHANG Tao. Optimization of inspection and repair of multi-state system under imperfect characteristics[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(5): 951-960. doi: 10.13700/j.bh.1001-5965.2016.0386(in Chinese)

非完美特性下的多状态系统检测与维修优化

doi: 10.13700/j.bh.1001-5965.2016.0386
基金项目: 

KJZ总体设计1 Y31405210N

详细信息
    作者简介:

    李志栋, 男, 博士研究生。主要研究方向:计算机仿真、系统优化、人工智能、高性能计算等

    张涛, 男,博士,研究员,博士生导师。主要研究方向:高可靠软件测试验证技术、高可靠电子信息系统分析设计方法、复杂系统仿真、虚拟现实技术等

    通讯作者:

    张涛, E-mail:zt@csu.ac.cn

  • 中图分类号: N945.17

Optimization of inspection and repair of multi-state system under imperfect characteristics

Funds: 

Foundation item: KJZ Overall Design 1 Y31405210N

More Information
  • 摘要:

    对于带有周期检测的系统进行维修优化时,不仅需要考虑系统自身可靠性信息,还应该充分利用检测数据并优化检测周期。以多状态并联可修系统为研究对象,考虑非完美检测和非完美维修,以降低系统运行成本率为目标实现系统检测和维修优化。利用非齐次马尔可夫链建立系统可靠性模型,对系统退化、检测和维修进行蒙特卡罗仿真。利用粒子滤波融合系统模型与检测数据并估计系统剩余寿命。设置寿命相关门限触发系统维修,以成本率期望仿真结果为目标函数,使用遗传算法优化检测周期和维修阈值。通过算例证明该方法可有效克服检测误差并实现检测和维修优化。

     

  • 图 1  两部件并联系统

    Figure 1.  Two-component parallel system

    图 2  部件状态转移图

    Figure 2.  Component state transfer diagram

    图 3  系统维修策略

    Figure 3.  System repair policy

    图 4  系统退化计算流程

    Figure 4.  Flow of system degradation calculation

    图 5  交叉操作

    Figure 5.  Crossover operation

    图 6  遗传算法优化中的各代最优适应度变化趋势

    Figure 6.  Variation trend of the best fitness of each generation in GA optimization

    图 7  不同检测误差下的优化结果对比

    Figure 7.  Comparison of optimization results under different inspection errors

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出版历程
  • 收稿日期:  2016-05-10
  • 录用日期:  2016-05-20
  • 刊出日期:  2017-05-20

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