典型文献
An Imperfect Grouping Maintenance Strategy for Multi-Component Systems Using the Survival Signature
文献摘要：
This paper presents an imperfect maintenance strategy for the multi-component systems.The proposed maintenance strategy takes into account two types of maintenance actions,namely preventive maintenance(PM)and corrective maintenance(CM).The imperfect effect of PM is modeled on the basis of the hybrid hazard rate model.Meanwhile,a new structure importance measure based on the survival signature is presented.Using this new importance measure method,an adjustment function is designed to update the PM maintenance threshold.For CM actions,a decision rule relying on the criticality level of components is introduced.In order to judge the criticality level of components,a novel structure updating method based on the survival signature is proposed.Moreover,a maintenance model considering economic dependence among components is developed.A 10-component system is finally introduced to illustrate the use and advantages of the proposed maintenance strategy.
文献关键词：
中图分类号：
作者姓名：
Jiaojiao GUO;Hailin FENG;Zhen WANG
作者机构：
School of Computing,Xijing University,Xi'an 710123,China;School of Mathematics and Statistics,Xidian University,Xi'an 710071,China
文献出处：
引用格式：
[1]Jiaojiao GUO;Hailin FENG;Zhen WANG-.An Imperfect Grouping Maintenance Strategy for Multi-Component Systems Using the Survival Signature)[J].系统科学与信息学报（英文版）,2022(05):500-517
A类：
Imperfect
B类：
An,Grouping,Maintenance,Strategy,Multi,Component,Systems,Using,Survival,Signature,This,paper,presents,imperfect,maintenance,strategy,multi,systems,proposed,takes,into,account,two,types,actions,namely,preventive,PM,corrective,CM,effect,modeled,basis,hybrid,hazard,Meanwhile,new,structure,importance,measure,survival,signature,presented,this,method,adjustment,function,designed,update,threshold,For,decision,rule,relying,criticality,level,components,introduced,In,order,judge,novel,updating,Moreover,considering,economic,dependence,among,developed,finally,illustrate,use,advantages
AB值：
0.569651
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