Stochastic analysis of two-unit outdoor electric power systems in changing weather

Dhillon, B.S.; Rayapati, Subramanyam N.

doi:10.1016/0026-2714(85)90023-x

Cited by 5 publications

(2 citation statements)

References 1 publication

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“…Chandrasekhar et al (2004) studied the two unit standby system and obtain exact confidence limits for the steady-state availability of the system, when the failure rate of an operative unit is constant and the repair time of the failed unit is a two stage Erlang distribution. The stochastic analysis of two-unit outdoor electric power systems in changing weather considered by Dhillon and Rayapati (1985). The purpose of this paper is accomplishes three objectives.…”

Section: Introductionmentioning

confidence: 99%

The optimal system for series systems with mixed standby components

Salah EL‐Sherbeny

2010

Journal of Quality in Maintenance Engineering

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Purpose -The main objective of this paper is to study the optimal system for series systems with mixed standby (including cold standby, warm standby and hot standby) components. Design/methodology/approach -The paper deals with the reliability and availability characteristics of four different series system configurations. The failure time of the operative, hot standby and warm standby are assumed to be exponentially distributed with parameters l, l, and a respectively. The repair time distribution of each server is also exponentially distributed with parameter m. Findings -The mean time to failure, MTTF i , and the steady-state availability A i 1 ð Þ for four configurations are examined and comparisons made. For all four configurations, the configurations are ranked based on: MTTF i , A i 1 ð Þ, and C i =B i where B i is either MTTF i or A i 1 ð Þ. Obviously, the system with height MTTF i and A i 1 ð Þ, do not need frequent maintenance, i.e. less maintenance. Originality/value -Numerical results for the cost/benefit measure have been obtained for all configurations. It is interesting to note first that the optimal configuration using the cost=MTTF i measure is configuration 4. Next the optimal configuration using the cost=A i ð1Þ measure is configuration 2.

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Section: Introductionmentioning

confidence: 99%

The optimal system for series systems with mixed standby components

Salah EL‐Sherbeny

2010

Journal of Quality in Maintenance Engineering

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“…Chandrasekhar et al [1] studied the two unit standby system and obtain exact confidence limits for the steady-state availability of the system, when the failure rate of an operative unit is constant and the repair time of the failed unit is a two stage Erlang distribution. Dhillon and Raypati [2] considered the stochastic analysis of two-unit outdoor electric power systems in changing weather. Wang et.al [6] studies the cost benefit analysis of series systems with cold standby components and a repairable service station, when the service times and the failure times of the primary components are assumed exponentially distributed.…”

Section: Introductionmentioning

confidence: 99%

The Optimal System for Series Systems With Warm Standby Components and a Repairable Service Station

Rashad¹,

Gharieb²

2009

Pak.j.stat.oper.res.

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This paper deals with the reliability and availability characteristics of three different series system configurations with warm standby components and a repairable service station. The failure time of the primary and warm standby are assumed to be exponentially distributed with parameters and respectively. The repair time distribution of each server is also exponentially distributed with parameter . The breakdown time and the repair time of the service station are also assumed exponentially distributed with parameters and respectively. We derive the reliability dependent on time, availability dependent on time, the mean time to failure,

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Availability Analysis of a 1-Out-of-2:G Non-Markovian System Operating Under Fluctuating Environment

Agarwal¹,

Chaudhuri²

1997

Advances in Safety and Reliability

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Stochastic analysis of two-unit outdoor electric power systems in changing weather

Cited by 5 publications

References 1 publication

The optimal system for series systems with mixed standby components

The optimal system for series systems with mixed standby components

The Optimal System for Series Systems With Warm Standby Components and a Repairable Service Station

Availability Analysis of a 1-Out-of-2:G Non-Markovian System Operating Under Fluctuating Environment

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