不完全维修条件下复杂系统的选择性维修决策方法研究

doi:10.3969/j.issn.1000-1093.2018.06.023

摘要/Abstract

摘要： 以复杂串联和并联系统任务为研究对象，建立了序贯任务条件下系统状态随机劣化过程模型。以最小维修、不完全维修和换件维修作为部件维修策略，在有限维修时间约束下，以当期系统任务可靠度最大化为目标，建立选择性维修决策模型以及相应的决策优化求解算法。案例分析表明：同时考虑役龄回退和风险修正的不完全维修模型能够更准确地描述系统可靠度；不完全维修策略可以在有限维修时间约束下，为复杂系统的选择性维修决策提供更大解空间，有助于相对提高系统可靠度。

关键词: 复杂系统, 不完全维修, 选择性维修, 任务间隔期, 遗传算法

Abstract: A sequential condition deterioration process model is constructed to enhance the mission reliability of complex systems composed of sequential-parallel parts. To better illustrate the effect of varied maintenance behaviors, the minimal maintenance, imperfect maintenance and replacement are taken as optional maintenance actions and modeled. A selective maintenance decision-making model and the attached artificial solving measures are presented to maximize the current mission reliability. The result shows that the imperfect maintenance model can be used to represent the actual reliability of the system better by integrating service age reduction model and risk correction model. Also within given maintenance time, the imperfect maintenance strategy is of help to offer a more feasible maintenance plan and increase the system reliability. Key

Key words: complexsystem, imperfectmaintenance, selectivemaintenance, missioninterval, geneticalgorithm

中图分类号:

王少华，张仕新，李勇，董原生，王今鹏. 不完全维修条件下复杂系统的选择性维修决策方法研究[J]. 兵工学报, 2018, 39(6): 1215-1224.

WANG Shao-hua， ZHANG Shi-xin， LI Yong, DONG Yuan-sheng, WANG Jin-peng. Research on Selective Maintenance Decision-making Method of Complex System Considering Imperfect Maintenance[J]. Acta Armamentarii, 2018, 39(6): 1215-1224.

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第39卷第6期
2018 年6月兵工学报ACTA
ARMAMENTARIIVol.39No.6Jun.2018

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