Working Vacation Policy for Load Sharing K-out-of-N: G System

IF 0.9 Q3 STATISTICS & PROBABILITY Journal of Reliability and Statistical Studies Pub Date : 2022-09-30 DOI:10.13052/jrss0974-8024.1528
Sudeep Kumar, Ritu Gupta
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引用次数: 1

Abstract

In industrial systems, the K-out-of-N: G system is a prominent type of redundancy. The load sharing protects such system from malfunctioning/destroying and avoids overload problem that affects the system reliability in a significant manner. In this paper we develop a Markovian model of load-sharing K-out-of-N: G system having non-identical repairable components wherein the server may on working vacation. During his vacation period, the server repairs the failed components with different service rates rather than completely terminating service rate. The failed component gets immediately repaired by the server if not on vacation, and unequal load is distributed among remaining surviving components. The lifetime of each component is load dependent followed by non-identical exponential distribution with different failure rates. The system is failed down due to common cause with failure density which is also exponentially distributed. We suggest closed structure analytic expressions for reliability, cost estimation and other performance measures of the load-sharing K-out-of-N: G repairable system by incorporating the concept of working vacation. For the solution aspiration, Runge-Kutta method is utilized to solve the system of differential equations. Furthermore, we perform the numerical analysis for two illustrations 1-out-of-3: G system and 3-out-of-4: G system. The numerical simulation is carried out for the validation of analytical results which are exhibited and compared by giving numerical outcomes and neuro-fuzzy outcomes based on fuzzy interference system with the help of MATLAB.
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N:G系统中K-out-of-G负载共享的工作休假策略
在工业系统中,k -out- n: G系统是一种突出的冗余类型。负载共享保护了这样的系统不发生故障/破坏,并在很大程度上避免了影响系统可靠性的过载问题。本文建立了具有非相同可修部件的负载共享k -out- n: G系统的马尔可夫模型,其中服务器可能处于工作休假状态。在休假期间,服务器以不同的服务速率修复故障组件,而不是完全终止服务速率。如果不在休假期间,故障组件将立即由服务器修复,并且在剩余的幸存组件之间分配不相等的负载。各部件的寿命与载荷有关,并且在不同的故障率下呈不同的指数分布。系统是由共同原因引起的故障,故障密度呈指数分布。通过引入工作假期的概念,提出了负荷共享k -out- n: G可修系统可靠性、成本估算和其他性能指标的封闭结构解析表达式。在求解过程中,采用龙格-库塔法求解微分方程组。此外,我们还对两种典型的1-out- 3: G系统和3-out- 4: G系统进行了数值分析。在MATLAB的帮助下,通过给出基于模糊干扰系统的数值结果和神经模糊结果,对所展示的分析结果进行了验证和比较。
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来源期刊
CiteScore
1.60
自引率
12.50%
发文量
24
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