Journal ArticleDOI
Reliability analysis of a non-identical unit parallel system with common-cause failures
Balbir S. Dhillon,H.C. Viswanath +1 more
TLDR
In this article, the authors presented a common cause failure analysis of a two non-identical unit parallel systems and developed the plots of system reliability, time dependent system availability, steady state system availability and system mean time to failure expressions.About:
This article is published in Microelectronics Reliability.The article was published on 1991-01-01. It has received 14 citations till now. The article focuses on the topics: Mean time to first failure & Mean time between failures.read more
Citations
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Journal ArticleDOI
Reliability and availability analysis for two non-identical unit parallel systems with common cause failures and human errors
V. Sridharan,P. Mohanavadivu +1 more
TL;DR: In this article, the authors present three models with common cause failure and human error analysis of a two non-identical unit parallel systems, where the difference between models I and II is that in model I the failed system is repaired back to its normal operating state whereas in model II it is not so.
Journal ArticleDOI
Reliability Measures of Two Dissimilar Units Parallel System Using Gumbel-Hougaard Family Copula
Garima Chopra,Mangey Ram +1 more
TL;DR: The goal of the present study is to investigate the availability and the reliability of the system, which has two dissimilar units in the parallel network under copula, and the concepts of probability theory, supplementary variable technique and Laplace transformation are applied.
Journal ArticleDOI
Common-cause failure analysis of a parallel system with warm standby
Balbir S. Dhillon,O.C. Anude +1 more
TL;DR: This paper presents the reliability analysis of a two identical unit parallel system with a warm standby subject to common-cause failures and a general formular for the system steady-state availability is developed when failed system repair times are gamma distributed.
Journal ArticleDOI
Common-cause failure analysis of a non-identical unit parallel system with arbitrarily distributed repair times
Balbir S. Dhillon,O.C. Anude +1 more
TL;DR: In this article, a common cause failure analysis of a two non-identical unit parallel systems with arbitrarily distributed repair times is presented, and a general formular for the system steady-state availability is developed for gamma distributed repair time.
Journal ArticleDOI
Stochastic analysis of two non-identical unit parallel system incorporating waiting time
Garima Chopra,Mangey Ram +1 more
TL;DR: In this article, the reliability of two non-identical unit parallel systems with two types of failures: common cause failure and partial failure was investigated. But the reliability metrics such as transition state probabilities, availability, reliability, mean time to failure and expected profit were not evaluated.
References
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Journal ArticleDOI
On common-cause failures—Bibliography
Balbir S. Dhillon,H.C. Viswanath +1 more
TL;DR: The topic of common-cause failures is discussed and an extensive list of selective references on the subject is presented.
Journal ArticleDOI
A 4-Unit Redundant System with Common-Cause Failures
TL;DR: In this paper, a mathematical model of a 4-unit (i.i.d.) redundant system subject to common-cause failures (s-dependent failures) is presented, and Laplace transforms of the state probability equations are developed.
Proceedings ArticleDOI
Modeling human errors in repairable systems
TL;DR: In this article, the reliability analysis of repairable and nonrepairable redundant systems with human errors and common cause failures is presented, and the plots clearly demonstrate that system steady-state availability, mean-time-to-failure, and reliability decrease with increasing values of human error rate.
Journal ArticleDOI
A common cause failure availability model
TL;DR: In this article, a two non-identical active redundant units system model is presented to include common cause failures, and the steady state probability and system availability equations are developed, where the common cause failure is defined as a single point failure.
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Stochastic analysis of standby systems with common-cause failures and human errors
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