一种基于动态信息迭代的系统群组维修规划方法

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.