Selective maintenance model and its solving algorithm for complex system

被引：0
|
作者：
Wang H. [1 ]
Duan F. [1 ]
Ma J. [1 ]
机构：
[1] School of Mechanical Engineering, Dalian University of Technology, Dalian
来源：
Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2020年 / 46卷 / 12期
关键词：
Complex system; Imperfect maintenance; Multiple repairpersons; Particle Swarm Optimization (PSO) algorithm; Selective maintenance;
D O I：
10.13700/j.bh.1001-5965.2019.0619
中图分类号：
学科分类号：
摘要：
Considering no maintenance, minimal maintenance, replacement maintenance and multiple intermediate maintenance levels, a selective maintenance model for the complex system is proposed based on Particle Swarm Optimization (PSO) algorithm and multiple repairpersons. In the imperfect maintenance model, effective age, maintenance cost and pre-maintenance state of components are introduced, which is more in line with the engineering practice. A system components maintenance tasks assignment algorithm, to solve the problem of how to assign multiple maintenance tasks to multiple repairpersons in order to minimize the maintenance time, is also proposed. Furthermore, the proposed algorithm is introduced into the PSO algorithm to solve the selective maintenance model, which is given for complex system considering multiple repairpersons and imperfect maintenance. The results of case analysis show that the proposed model and the corresponding algorithm are effective, and can provide feasible maintenance decision-making schemes for complex system. © 2020, Editorial Board of JBUAA. All right reserved.
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页码：2264 / 2273
页数：9
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