In some engineering fields, systems are required to complete a mission over a period. However, for some safety-critical systems, the survival of systems often has higher priority than the successful achievement of the mission. In these cases, a mission needs to be aborted when a certain criterion is met, and a rescue procedure would be carried out to avoid system failure. Nowadays, reliability problems on balanced systems have attracted more and more attention because they often perform critical missions in industrial fields such as military weapons and new energy storage. In reported studies, no mission abort policy has been considered for balanced systems with multi-state components. To fill this gap, a novel mission abort policy is designed with multiple abort criteria to adapt to the characteristics of such systems. Two competing abort criteria are considered, including the maximum component state distance and the number of damaged components which are defined as components working in states no better than a predetermined state. Two optimization models are constructed to determine the optimum mission abort thresholds. Finally, numerical examples based on UAVs performing a surveillance mission are presented to illustrate the proposed mission abort policy.

在某些工程领域，系统需要在一段时间内完成一项任务。然而，对于一些安全关键系统，系统的生存往往比成功完成任务具有更高的优先级。在这些情况下，需要在满足某个标准时中止任务，并执行救援程序以避免系统故障。如今，平衡系统的可靠性问题越来越受到关注，因为它们经常在军事武器和新能源存储等工业领域执行关键任务。在报告的研究中，没有为具有多状态组件的平衡系统考虑任务中止政策。为了填补这一空白，设计了一种新颖的任务中止策略，其中包含多种中止标准，以适应此类系统的特点。考虑了两个相互竞争的中止标准，包括最大组件状态距离和损坏组件的数量，这些组件被定义为在不优于预定状态的状态下工作的组件。构建了两个优化模型来确定最佳任务中止阈值。最后，给出了基于无人机执行监视任务的数值示例，以说明拟议的任务中止政策。