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Influence of failure propagation on mission abort policy in heterogeneous warm standby systems

机译:故障传播对异构热备用系统中任务中止策略的影响

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In many life-critical applications (e.g., spacecraft, aircrafts and chemical reactors), accomplishing a specified mission or aborting mission objectives in the case of certain condition being met to survive the system are both crucial. While conventional reliability models have typically focused only on evaluating the mission success probability, few of recent research addressed effects of mission aborts and studied system survivability. However, these works fail to consider propagated failures that can make significant contributions to the mission failure and may affect the optimal mission abort policy adopted for the system. In this paper, we suggest a numerical method for addressing effects of failure propagations in analyzing the mission success probability (MSP) and system survivability (SS) of 1-out-of-N warm standby systems subject to mission abort. The system may be heterogeneous, composed of components with different standby modes, and different performance and failure time distribution parameters. Both the activation sequence of those heterogeneous components and the adopted mission abort policy can affect the system performance metrics greatly. Therefore, we make further contributions by formulating and solving optimization problems that find the optimal mission abort policy for systems with any given component activation sequence or the optimal combination of mission abort policy and component activation sequence, maximizing the MSP while satisfying a desired SS level. Examples are provided to demonstrate influence of propagated failures on system performance and optimization solutions. Examples also show that the optimal abort policy determined can achieve a good balance between MSP and SS taking into account failure propagation.
机译:在许多对生命至关重要的应用中(例如,航天器,飞机和化学反应堆),在满足特定条件以维持系统生存的情况下,完成指定任务或中止任务目标都是至关重要的。尽管传统的可靠性模型通常只专注于评估任务成功概率,但是最近的研究很少涉及任务中止的影响并研究了系统的生存能力。但是,这些工作没有考虑传播失败,这些传播失败可能对任务失败做出重大贡献,并可能影响系统采用的最佳任务中止策略。在本文中,我们建议一种数值方法来解决故障传播的影响,以便分析遭受任务中止的N分之一热备用系统的任务成功概率(MSP)和系统生存能力(SS)。该系统可能是异构的,由具有不同待机模式,不同性能和故障时间分布参数的组件组成。这些异构组件的激活顺序和采用的任务中止策略都可以极大地影响系统性能指标。因此,我们通过制定和解决优化问题做出进一步的贡献,这些问题可以找到具有任何给定组件激活序列或任务中止策略与组件激活序列的最佳组合的系统的最佳任务中止策略,从而在满足所需SS级别的同时最大化MSP。提供了一些示例来说明传播的故障对系统性能和优化解决方案的影响。示例还显示,考虑到故障传播,确定的最佳中止策略可以在MSP和SS之间实现良好的平衡。

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