一种基于动态信息迭代的系统群组维修规划方法

杨力; 陈懿; 高凯烨; 马小兵; 赵宇

doi:10.13700/j.bh.1001-5965.2022.0578

一种基于动态信息迭代的系统群组维修规划方法

doi: 10.13700/j.bh.1001-5965.2022.0578

杨力¹,
陈懿¹,
高凯烨²,
马小兵^1, ,,
赵宇¹

1.
北京航空航天大学可靠性与系统工程学院，北京 100191
2.
北京信息科技大学经济管理学院，北京 100096

基金项目: 国家自然科学基金(72101010,72001027)；中国博士后科学基金(270514)

详细信息

通讯作者:
E-mail：maxiaobing@buaa.edu.cn

中图分类号: V267
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- 被引次数: 0
出版历程
- 收稿日期: 2022-07-05
- 录用日期: 2022-09-09
- 网络出版日期: 2022-09-27
- 整期出版日期: 2024-07-18

A system group maintenance scheduling method based on iteratively dynamic information

YANG Li¹,
CHEN Yi¹,
GAO Kaiye²,
MA Xiaobing^{1
, ,},
ZHAO Yu¹

1.
School of Reliability and Systems Engineering，Beihang University，Beijing 100191，China
2.
School of Economics and Management，Beijing Information Science & Technology University，Beijing 100096，China

Funds: National Natural Science Foundation of China (72101010,72001027); China Postdoctoral Science Foundation (270514)

More Information

Corresponding author: E-mail：maxiaobing@buaa.edu.cn

摘要

摘要:
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。
- 智能维护 /
- 可用度优化 /
- 群组维修 /
- 机会维修 /
- 动态规划
Abstract:
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.
- intelligent maintenance /
- availability optimization /
- group maintenance /
- opportunistic maintenance /
- dynamic programming

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图 1 预防性维修分组示意图

Figure 1. Schematic diagram of preventive maintenance group

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图 2 机会性维修分组示意图

Figure 2. Schematic diagram of opportunistic maintenance group

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图 3 延迟维修示意图

Figure 3. Schematic diagram of postponed maintenance

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图 4 提前维修示意图

Figure 4. Schematic diagram of advance maintenance

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图 5 部件结构稳态可用度随维修间隔时间变化

Figure 5. Change of structure stable availability of components with maintenance interval time

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图 6 各结构的部件级最优维修计划

Figure 6. Optimal maintenance plan for each structure component level

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图 7 $T = 100$ h下各部件的系统级最优维修计划

Figure 7. Optimal maintenance plan at system-level for components under $T = 100$ hours

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表 1 各部件的退化/失效参数

Table 1. Degradation/failure parameters of components

部件编号	退化失效阈值${X_{\text{F}}}$	漂移系数$\nu $	扩散系数$\sigma $	形状参数$\alpha $	尺度参数$\beta $
D1	25	0.481	0.407
D2	20	0.473	0.412
D3	15	0.432	0.428
T1				1.021	0.012
T2				1.282	0.025
T3				1.252	0.028
T4				1.083	0.021
T5				1.102	0.010

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表 2 各部件的维修所需时间

Table 2. Maintenance durations of components

部件编号	预防性维修工时${t_{{\text{pr}}}}$/h	修复性维修工时${t_{{\text{cr}}}}$/h
D1	1	6
D2	1.5	12
D3	2	15
T1	1.5	12
T2	2	15
T3	1	9
T4	1.5	12
T5	2	15

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表 3 各部件最佳维修间隔及最大稳态可用度

Table 3. Optimal maintenance interval and maximum stable availability of components

部件编号	期望寿命/h	部件级最佳维修间隔/h	最大稳态可用度
D1	52	52	0.931
D2	42	48	0.951
D3	35	43	0.956
T1	85	26	0.772
T2	51	22	0.786
T3	45	19	0.757
T4	52	19	0.761
T5	110	32	0.796

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表 4 T=100 h下的系统级最优维修计划

Table 4. Optimal system-level maintenance plan under T=100 hours

成组维修次数	最优维护组	成组维修完成时间/h	稳态可用度提升	提升比例/%
1	{T1,T2,T3,T4}	19	0.08	4.5
2	{D3,T2,T3,T4,T5}	38	0.12	4.1
3	{D1,D2,T1}	48	0.07	2.7
4	{T2,T3,T4}	57	0.07	2.7
5	{D3,T1,T2,T3,T4,T5}	74	0.10	3.9
6	{D1,D2,T1,T2,T3,T4}	93	0.14	4.9

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