Optimal Task Abort and Maintenance Policies Considering Time Redundancy

For many practical systems that are required to perform critical tasks, it is commonly observed tasks can be performed multiple times within a limited time improve task success probability. Such property referred as redundancy. This paper contributes by studying the optimal adaptive maintenance and abort strategies of continuously degraded considering two kinds redundancy system safety reliability. The decision considered dynamically according degradation level number attempts. Task probability survival under evaluated using an event-based numerical algorithm. imperfect thresholds investigated in each attempt minimize expected total cost maintenance, failure failure. established model this study illustrated results.