序贯任务下考虑不完全维修的装备选择性维修决策研究

Research on Selective Maintenance Decision-Making of Equipment Considering Imperfect Maintenance under Sequential Mission

针对在序贯任务间隔期复杂串并联装备开展选择性维修决策问题,以最小维修、不完全维修和更换维修作为可选维修行为集,在任务间隔期时长的约束下,将装备可靠度最大化作为决策目标,建立起在序贯任务间隔期中考虑不完全维修的装备选择性维修决策模型。通过案例分析可知,结合遗传算法,模型可以获得满足要求的最优解,能够为序贯任务下的装备维修提供一定的理论指导。

Aiming at the problem of selective maintenance decision-making for the complex equipment systems composed of sequential-parallel parts in sequential mission interval, a selective maintenance decision-making model is built, which takes the maximization of equipment reliability as the objective under the constraints of limited time intervals between missions. To better depict the impact of different maintenance actions, the minimal maintenance, imperfect maintenance and replacement maintenance are taken as the optional maintenance action sets. Through the case analysis, combined with genetic algorithm, the model can obtain the optimal solution that meets the requirements, meanwhile, the model can provide maintenance reference for equipment under sequential mission.