Optimal Condition-based Maintenance Decision-making Method of Multi-component System Based on Simulation

被引：0
|
作者：
Wang S.-H. [1 ]
Zhang Y.-H. [1 ]
Xu L.-Y. [1 ]
Liu H.-X. [2 ]
机构：
[1] Department of Technology Support Engineering, Academy of Armored Force Engineering, Beijing
[2] Department of Science Research, Academy of Armored Force Engineering, Beijing
来源：
| 1600年 / China Ordnance Industry Corporation卷 / 38期
关键词：
Condition-based maintenance; Imperfect maintenance; Monte Carlo simulation; Optimal decision-making; Ordnance science and technology;
D O I：
10.3969/j.issn.1000-1093.2017.03.021
中图分类号：
学科分类号：
摘要：
To promote the maintenance benefit by combined maintenance, for multi-component systems subjected to condition-based maintenance each component is supposed to endure independent gradual deterioration, and a stochastic deteriorate model is established. The exponential function is applied to set up the reliability functions taking condition parameters as variables. In consideration of imperfect maintenance and probability distribution of maintenance time, a Monte Carlo-based condition deteriorating simulation model of multi-component system is proposed. TA preventive maintenance threshold optimization model is constructed by taking the expected expenses per unit time as the optimization objective, and is verified by a case study. © 2017, Editorial Board of Acta Armamentarii. All right reserved.
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页码：568 / 575
页数：7
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