On a two-unit cold standby system considering hardware, human error failures and preventive maintenance

Mahmoud, M. A. W.; Moshref, M.E.

doi:10.1016/j.mcm.2009.10.019

Cited by 46 publications

(21 citation statements)

References 12 publications

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“…Many researchers such as Moghaddass et al (2011), Zhang and Wang (2009) and Wu and Wu (2011) analysed reliability of repairable systems under different assumptions. Goel and Sharma (1989), Cao and Wu (1989), Chandrasekhar et al (2004), Gopalan and Nagarwall (1985), Gopalan and Bhanu (1995), Chander (2005), Mahmoud and Moshref (2010), and discussed several stochastic model under common assumptions that after a maximum operation time unit undergoes for preventive maintenance either standby unit available or not. studied the effect of preventive maintenance on the systems of non-identical units.…”

Section: Introductionmentioning

confidence: 99%

Stochastic behavior of a cold standby system with maximum repair time

Kumar¹,

Baweja²,

Barak³

2015

10.5267/j.dsl

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The main aim of the present paper is to analyze the stochastic behavior of a cold standby system with concept of preventive maintenance, priority and maximum repair time. For this purpose, a stochastic model is developed in which initially one unit is operative and other is kept as cold standby. There is a single server who visits the system immediately as and when required. The server takes the unit under preventive maintenance after a maximum operation time at normal mode if one standby unit is available for operation. If the repair of the failed unit is not possible up to a maximum repair time, failed unit is replaced by new one. The failure time, maximum operation time and maximum repair time distributions of the unit are considered as exponentially distributed while repair and maintenance time distributions are considered as arbitrary. All random variables are statistically independent and repairs are perfect. Various measures of system effectiveness are obtained by using the technique of semi-Markov process and RPT. To highlight the importance of the study numerical results are also obtained for MTSF, availability and profit function.Growing Science Ltd. All rights reserved. 5

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Section: Introductionmentioning

confidence: 99%

Stochastic behavior of a cold standby system with maximum repair time

Kumar¹,

Baweja²,

Barak³

2015

10.5267/j.dsl

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show abstract

“…In all these papers, the authors did not take into their account the human error failures in spite of 20 − 30% of failures are due to human error (see Mister [17]). In addition, many papers [2][3][4][5][6][7][8], [13], [15,16] dealt with the reliability of some standby systems are subject to the human error failures.…”

Section: Introductionmentioning

confidence: 99%

On Reliability of (n + 1)-Unit Warm Standby System based on Imperfect Repair Facility and Two Types of Failures

Mahmoud¹,

Attallah²,

Alharby³

2013

IJCA

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“…The system consist priority unit (p) and ordinary unit (o). A single repair facility appears and disappears fro m the system randomly with constant rates, Malik et al [11] analy zed two reliab ility models for a system of non identical units original and duplicate using regenerative point technique., Mahmoud and Moshrefa [12] deal with the study of the stochastic analysis of a two unit co ld standby system considering hardware failure, hu man error failure and preventive maintenance, Yusuf and Bala [13], studied stochastic two models of two unit parallel system. In model I, the system can be normal, deterioration (slow, mild or fast deterioration), failu re whereas in model II, the system can either be in normal of failure modes.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Reliability and Availability Characteristics of 2-out of -3 Standby System under a Perfect Repair Condition

Yusuf¹,

Hussaini²

2012

AJMS

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Many authors have studied the effectiveness of a redundant system under two or three types of failure under the assumption that such failures are repairable. Little attention is paid on whether such repair act ion can restore the system operating condition to as good as new (perfect repair) and the effect of such perfect repair on the system performance. In this study, various measures of system effect iveness such as mean time to system failu re (MTSF), steady state availability, busy period and profit function of a 2-out-of-3 repairable system with perfect repair are analy zed using Kolmogorov's forward equation method. Some particular cases have been discussed graphically. The results have indicated that perfect repair action plays a v ital ro le on system performance. Simu lations results show that perfect repair is important part icularly in increasing mean time to system failure, availability and system performance as a whole.

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On a two-unit cold standby system considering hardware, human error failures and preventive maintenance

Cited by 46 publications

References 12 publications

Stochastic behavior of a cold standby system with maximum repair time

Stochastic behavior of a cold standby system with maximum repair time

On Reliability of (n + 1)-Unit Warm Standby System based on Imperfect Repair Facility and Two Types of Failures

Evaluation of Reliability and Availability Characteristics of 2-out of -3 Standby System under a Perfect Repair Condition

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