一种基于动态信息迭代的系统群组维修规划方法

A system group maintenance scheduling method based on iteratively dynamic information

可用度是衡量设备系统服役效能的重要指标,目前大部分面向系统可用度优化的群组维修方法均为静态框架,无法充分利用健康状态信息实时高效调整维修计划。基于此,提出了一种考虑动态信息迭代机制的智能群组维修规划方法。该方法充分兼容突发型和退化型等典型系统故障分布特点,设计耦合预防性计划维修和机会维修的两级群组维修方案,并根据每次成组时的各部件实时状态-年龄信息,迭代更新下一次成组时间和需维修部件序列。针对飞机群组部件的算例验证表明,所提方法相比于传统的静态群组维修,在减少停机次数、提升稳态可用度方面具有显著优势。

Availability is an important index to measure the service efficiency of equipment system.At present,most of the group maintenance frameworks for system availability optimization are static,which cannot make full use of health status information to effectively adjust real-time maintenance plans.To address these problems,this paper proposes an intelligent group maintenance planning approach based on a dynamic information iterative mechanism.By creating a two-level group maintenance scheme that couples pre-planned maintenance with opportunistic maintenance,the suggested approach is entirely compatible with common fault distribution features like sudden failure type and degradation type.Based on the real-time age and condition information of components in each group,we iteratively update the next grouping time and the sequence of components to be repaired.The numerical experience result demonstrates that the suggested strategy works better at lowering downtime and enhancing the system's steady availability than conventional static group maintenance.