上海交通大学学报 ›› 2022, Vol. 56 ›› Issue (9): 1276-1284.doi: 10.16183/j.cnki.jsjtu.2021.104
• 机械与动力工程 • 上一篇
收稿日期:
2021-04-08
出版日期:
2022-09-28
发布日期:
2022-10-09
作者简介:
王 红(1968-),男,青海省海东市人,教授,博士生导师,现主要从事轨道车辆零部件疲劳可靠性及预防性维护策略研究.电话(Tel. ):0931-4956590; E-mail: 基金资助:
WANG Hong1(), QI Yankun1, HE Yong1, YANG Guojun2
Received:
2021-04-08
Online:
2022-09-28
Published:
2022-10-09
摘要:
为保证在动车组可靠运行的前提下,尽可能提高其运用效率,在传统机会维修策略的基础上提出一种双目标优化的多阶段机会维修决策策略.该策略将维修机会窗口等距划分为多个阶段,对维修时机位于不同阶段的部件实施差异力度的维修.针对多部件维修任务分配问题,提出两名维修人员的任务分配算法,并将该算法引入到多属性决策中,使模型具有良好的多属性优化性能.算例分析验证了多阶段机会维修策略在优化可用度和平均成本率方面的有效性,同时探究权重因子对模型优化倾向的影响.
中图分类号:
王红, 齐彦昆, 何勇, 杨国军. 双目标优化的动车组系统多阶段机会维修决策[J]. 上海交通大学学报, 2022, 56(9): 1276-1284.
WANG Hong, QI Yankun, HE Yong, YANG Guojun. Multi-Stage Opportunistic Maintenance Decision-Making for Electric Multiple Unit Systems with Bi-Objective Optimization[J]. Journal of Shanghai Jiao Tong University, 2022, 56(9): 1276-1284.
表5
不同权重因子对维修策略的影响
方案 | 权重因子值 | Cle/元 | Csys/元 | | H | A | 维修人员数量选择序列 |
---|---|---|---|---|---|---|---|
1 | ω1=1,ω2=0 | 19 800 | 48 373 | 29.24 | 144.1 | 0.920 | (1,1,1,1,1,1,1,1,1,1,1) |
2 | ω1=0.55,ω2=0.45 | 19 800 | 49 996 | 26.74 | 147.8 | 0.927 | (1,1,1,1,1,2,1,1,1,1) |
3 | ω1=0.53,ω2=0.47 | 23 400 | 53 366 | 23.25 | 156.2 | 0.936 | (1,1,1,1,2,2,1,2,1,1) |
4 | ω1=0.52,ω2=0.48 | 25 200 | 55 064 | 21.59 | 160.3 | 0.941 | (1,1,1,2,2,2,1,2,1,1) |
5 | ω1=0.50,ω2=0.50 | 30 600 | 60 273 | 18.23 | 173.8 | 0.950 | (1,2,2,2,2,2,2,2,1,1) |
6 | ω1=0.44,ω2=0.56 | 34 200 | 63 767 | 16.18 | 182.8 | 0.956 | (2,2,2,2,2,2,2,2,2,1) |
7 | ω1=0,ω2=1 | 36 000 | 65 537 | 15.58 | 187.6 | 0.957 | (2,2,2,2,2,2,2,2,2,2) |
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