Time-redundant system reliability under randomly constrained time resources

Lisnianski, Anatoly; Jeager, A.

doi:10.1016/s0951-8320(00)00054-5

Cited by 11 publications

(1 citation statement)

References 4 publications

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“…The server is unreliable completely and there are two types of failure are feasible ("open" and "closed"). They presented the adequate model by using a semi-Markov process as a mathematical technique and they derived the closedform solution based on an acyclic Semi-Markov process (Lisnianski and Jeager, 2000). In 2004, Elmira, studies the structure of Bayesian group replacement policies for a parallel system of n items with exponential failure times and random failure parameter.…”

Section: Introductionmentioning

confidence: 99%

The Performance of High-power Station Based on Time Between Failures (TBF)

Alwan¹,

Baharum²,

Hasson³

2013

RJASET

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Many human activities are electricity-dependent. As major providers of electricity, the performance of high-power stations represents a vital part of any national economy. In the present study, we identified the distribution fitting to TBF. The distribution fitting based on failure data collection, calculated TBF, plotted the histogram for TBF and matched the plot on the continuous distributions' functions have been investigated. Then, the most valid distribution was found to be the Three-parameter Weibull distribution. Shape, scale and location parameters values were 0.75169, 32.125 and 1.9375, respectively.

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Section: Introductionmentioning

confidence: 99%