Component-based perfect replacement optimizations for series and parallel systems consisting of repairable dependent components

组分(热力学) 连接词(语言学) 系列(地层学) 数学优化 计算机科学 功能(生物学) 串并联电路 数学 计量经济学 工程类 进化生物学 生物 热力学 电气工程 物理 古生物学 电压
作者
Jaber Kazempoor,Arezou Habibirad
标识
DOI:10.1177/1748006x231199790
摘要

In this paper, we consider the preventive perfect replacement and replacement by a new one policies for some arbitrary selected components in the repairable series and parallel systems with dependent components. These policies are also extended to other systems. In fact, regardless of the kind of system, the policies are applied to any system with a survival function that can be calculated as a known function of their component’s survival functions. The dependent structure of these components is formulated regarding copula frameworks. In addition, two optimal maintenance policies in accordance with the maximum expected life for a series and parallel system and minimum/maximum relative risk of a component for a series/parallel system have been provided. The problem issue of finding the optimal relative risk of a component is new and has not been proposed up to now. Although the optimal life extension of a system has been investigated previously, through a replacement policy of the whole system, in this study, the life of a series or parallel system is optimally extended through a replacement policy of some of its dependent components. The existence of the optimal solution has been shown for all copula functions and furthermore, some numerical results are detailed regarding the Gumbel, Frank, Joe, Clayton, FGM, Normal, and AMH copulas.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
风轩轩发布了新的文献求助30
刚刚
谭平发布了新的文献求助10
刚刚
孤独蘑菇发布了新的文献求助10
2秒前
3秒前
田様应助ccm采纳,获得10
4秒前
4秒前
坦率鹰完成签到,获得积分20
4秒前
Xu完成签到,获得积分10
4秒前
俊俊发布了新的文献求助10
5秒前
孤独星月发布了新的文献求助10
7秒前
养猫的路飞完成签到,获得积分10
7秒前
7秒前
浮浮完成签到,获得积分10
8秒前
JamesPei应助沉默的港湾采纳,获得10
9秒前
举個栗子完成签到,获得积分10
10秒前
乐乐应助杨杨采纳,获得30
11秒前
qiu发布了新的文献求助10
11秒前
11秒前
无极微光应助鲸鱼采纳,获得20
13秒前
Ryan完成签到,获得积分10
14秒前
14秒前
NexusExplorer应助很纯的牛奶采纳,获得10
15秒前
19秒前
19秒前
不安溪灵完成签到,获得积分10
20秒前
zQiao发布了新的文献求助10
21秒前
21秒前
之贻完成签到,获得积分10
23秒前
无事完成签到 ,获得积分10
23秒前
彭于晏应助L.采纳,获得10
24秒前
wxlganenshifu完成签到,获得积分10
25秒前
26秒前
王顺发完成签到 ,获得积分10
26秒前
科研通AI6.1应助penny采纳,获得10
29秒前
29秒前
30秒前
呆萌海蓝应助大葱采纳,获得30
30秒前
zQiao完成签到,获得积分10
30秒前
30秒前
李白发布了新的文献求助100
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6501015
求助须知:如何正确求助?哪些是违规求助? 8296023
关于积分的说明 17705255
捐赠科研通 5597992
什么是DOI,文献DOI怎么找? 2918508
邀请新用户注册赠送积分活动 1895724
关于科研通互助平台的介绍 1756655