管理系统故障风险:性能控制和任务中止决策

Qingan Qiu
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引用次数: 0

摘要

在安全关键系统中发生故障可能导致严重后果,包括生命损失和重大经济影响。因此,必须建立有效的风险控制政策,以提高系统的生存能力。传统的方法侧重于预防性维护,这在持续的任务执行中可能耗时且不切实际,而本研究提出了一种替代方法。通过利用系统性能水平和退化行为之间的关系,就有机会通过动态性能调整来控制系统退化。任务中止也是一种减轻安全隐患的直观方法。为了在任务执行过程中实现灵活的风险控制,本研究根据恶化程度和剩余工作量动态调整性能水平和任务中止决策。该问题在马尔可夫决策过程的框架内表述,并通过分析结构特性推导出最优策略。对启发式策略进行了比较评估以提供见解,并证明了最优性能控制和任务中止策略表现出阈值结构,依赖于性能水平和退化过程。利用状态信息进行动态调整,可以降低安全关键系统的故障风险和运行成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Managing System Failure Risk: Performance Control and Mission Abort Decisions
The occurrence of failures in safety-critical systems can result in severe consequences, including loss of life and significant economic impact. Therefore, it is essential to establish effective risk control policies to enhance system survivability. While traditional approaches focus on preventive maintenance, which may be time-consuming and impractical during continuous mission execution, this research proposes an alternative approach. By leveraging the relationship between system performance levels and degradation behavior, opportunities arise for controlling system deterioration through dynamic performance adjustment. Mission abort is also explored as an intuitive way to mitigate safety hazards. To achieve flexible risk control during mission execution, this study dynamically adjusts performance levels and mission abort decisions based on the deterioration level and amount of remaining work. The problem is formulated within the framework of a Markov decision process, and optimal policies are derived by analyzing structural properties. Comparative evaluations of heuristic policies are conducted to provide insights, and it is demonstrated that optimal performance control and mission abort policies exhibit a threshold structure, dependent on the performance level and degradation process. The utilization of condition information for dynamic adjustments offers potential for reducing failure risks and operational costs in safety-critical systems.
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