带控制器子系统组合的n:G型可修系统的随机分析及多重修复方法

Q2 Engineering
V. V. Singh, P. K. Poonia
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引用次数: 3

摘要

本文描述了对由两个子系统组成的复杂系统的不同可靠性措施的研究,该系统具有串联配置的控制器,这对于特定的设计问题是一个有用的机会。子系统-1,由n个单元组成,按照策略k-out-of-n:G运行;策略,并且子系统-2具有m个单元并且在m:G中的r-下操作;政策两个子系统的系统故障率是恒定的,并假设服从指数分布;允许修复两种类型的分布:一般分布和Gumbel-Hougaard家族copula分布。系统的部分故障状态/完全故障状态使用General/compla分布进行修复。修复后,两个子系统中的单元都“像新的一样”。控制器控制两个子系统,控制器的故障使子系统处于完全故障状态。如果操作员对组织不满意,可能会故意使系统失效。采用补充变量技术对系统进行了分析,并针对故障和修复参数的特定值计算了拉普拉斯变换含义和传统的系统可靠性度量,如系统的可用性、系统可靠性和利润分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic analysis of k-out-of-n: G type of repairable system in combination of subsystems with controllers and multi repair approach
This paper describes the investigation of different reliability measures of a complex system consisting of two subsystems with controllers in a series configuration, which is a useful opportunity for specific design problems. Subsystem-1 consisting n units functioning under the policy k-out-of-n: G; policy, and subsystem-2 has m units and operating under r-out-of-m: G; policy. The system failure rates of both subsystems are constant and assumed to obey an exponential distribution; two types of distribution are allowed to repair: general distribution and Gumbel-Hougaard family copula distribution. The system's partially failed states/ completely failed states are repaired using General/ copula distribution. After repair, the units in both the subsystems are "as good as new." The controller control both subsystems and the failure of controllers brings the subsystem in the complete failed state. The operator may fail the system deliberately if not satisfied with the organization. The system is analyzed employing the supplementary variable technique, and Laplace transforms implications and traditional system reliability measures, such as the system's availability, system reliability, and profit analysis, have been computed for particular values of failure and repair parameters.
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来源期刊
Journal of Optimization in Industrial Engineering
Journal of Optimization in Industrial Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
2.90
自引率
0.00%
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0
审稿时长
32 weeks
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