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在随机环境中运行的系统的最优任务中断策略。

Optimal Mission Abort Policy for Systems Operating in a Random Environment.

机构信息

Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, Chengdu, China.

The Israel Electric Corporation, Reliability Department, Haifa, Israel.

出版信息

Risk Anal. 2018 Apr;38(4):795-803. doi: 10.1111/risa.12886. Epub 2017 Aug 29.

DOI:10.1111/risa.12886
PMID:28853176
Abstract

Many real-world critical systems, e.g., aircrafts, manned space flight systems, and submarines, utilize mission aborts to enhance their survivability. Specifically, a mission can be aborted when a certain malfunction condition is met and a rescue or recovery procedure is then initiated. For systems exposed to external impacts, the malfunctions are often caused by the consequences of these impacts. Traditional system reliability models typically cannot address a possibility of mission aborts. Therefore, in this article, we first develop the corresponding methodology for modeling and evaluation of the mission success probability and survivability of systems experiencing both internal failures and external shocks. We consider a policy when a mission is aborted and a rescue procedure is activated upon occurrence of the mth shock. We demonstrate the tradeoff between the system survivability and the mission success probability that should be balanced by the proper choice of the decision variable m. A detailed illustrative example of a mission performed by an unmanned aerial vehicle is presented.

摘要

许多现实世界中的关键系统,例如飞机、载人航天系统和潜艇,利用任务中止来提高其生存能力。具体来说,当满足某些故障条件时,可以中止任务,然后启动救援或恢复程序。对于暴露于外部冲击的系统,故障通常是由这些冲击的后果引起的。传统的系统可靠性模型通常无法处理任务中止的可能性。因此,在本文中,我们首先开发了相应的方法,用于对经历内部故障和外部冲击的系统的任务成功概率和生存能力进行建模和评估。我们考虑了一种策略,即在发生第 m 次冲击时中止任务并激活救援程序。我们展示了系统生存能力和任务成功概率之间的权衡,这需要通过适当选择决策变量 m 来平衡。我们提供了一个由无人机执行的任务的详细说明性示例。

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