Abstract Safety-critical systems are commonly required to perform missions in various engineering fields. Failures of safety-critical systems may result in irretrievable economic losses and significant damages. To enhance the system survivability, mission abort is usually conducted if the failure risk becomes too high. This paper investigates the joint optimization of inspection and condition based mission abort policies for systems subject to continuous degradation. Dynamic mission abort decisions are considered based on the degradation level together with the time in mission. The problem is formulated within the framework of Markov decision process to minimize the expected costs of inspection, mission failure and system failure. In addition to deriving some structural properties, we also numerically evaluate several heuristic policies where mission reliability and system survivability are derived. Numerical studies are presented to validate the obtained results.

中文翻译：

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受降级影响的系统的最佳检查和任务中止策略

摘要 安全关键系统通常需要在各种工程领域执行任务。安全关键系统的故障可能导致无法挽回的经济损失和重大损失。为了提高系统的生存能力，通常在故障风险过高时执行任务中止。本文研究了针对持续退化的系统的检查和基于条件的任务中止策略的联合优化。动态任务中止决定是基于退化级别和任务中的时间来考虑的。该问题是在马尔可夫决策过程的框架内制定的，以最小化检查、任务失败和系统失败的预期成本。除了推导出一些结构特性，我们还对几个启发式策略进行了数值评估，其中得出了任务可靠性和系统生存能力。提出了数值研究来验证所获得的结果。