A Mission Reliability Optimization Model for Safety-Critical Equipment Considering Both Internal Degradation and External Shocks

• Published in: 2024 Global Reliability and Prognostics and Health Management Conference (PHM-Beijing) pp. 1 - 5
• Main Authors: Kang, Zijian, Wei, Fanping, Ma, Xiaobing, Yang, Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 11.10.2024
• Subjects: abort decision-making; Adaptation models; Degradation; degradation modeling; Electric shock; Inspection; inspection scheduling; mission risk management; Numerical models; Reliability; shock impact; Stochastic processes; Uncertainty; Underwater vehicles; Vehicle dynamics
• DOI: 10.1109/PHM-Beijing63284.2024.10874566

Safety-critical equipment such as Unmanned Aerial Vehicles (UAVs), submarines, fleets, and military aircraft must perform a variety of missions where mission reliability and equipment survivability are paramount. To enhance survivability, mission can be aborted upon encountering certain failure conditions. In this study, a novel mission abort policy is devised that allows for risk control of both internal degradation and external shocks. The cumulative impact of shocks on system degradation is quantified via a generic stochastic model. Inspections are executed equidistantly to reveal the underlying degradation damage, following which adaptive abort decisions are made using a control limit policy. By jointly optimizing the inspection interval and abort threshold, the long-term operational cost of the system is minimized. Numerical experiments exemplify the model effectiveness in mission risk control and loss mitigation.