Sensitivity analysis and reliability assessment of integrated systems with dependent components in operation

Document Type : Original Article

Authors

1 Industrial Engineering college, malek-e-Ashtar university of Technology (MUT), Isfahan, Iran   

2 a

Abstract
Many engineers and researchers base their reliability models on the hypothesis that the components of a system work statistically independently and fail. This assumption is often violated in practice because, specific environmental and systemic factors affect the performance of components and thus contribute to correlated failures, which can reduce the reliability of a system. Determining the component correlation index and its effect on system reliability is necessary to be able to require models to explicitly combine and coordinate continuous failures and provide an accurate estimate of system reliability. Previous approaches to correlation modeling are limited to systems that consist of two or three components or assume that the operation of the components is statistically independent. In this study, while considering the dependence between component functions, a model is presented to consider this dependence and calculate the reliability of series, parallel, k-out of-n, parallel-series and series-parallel systems. To better understand the problem, examples are provided with sensitivity analysis in which the components are functionally interdependent. These examples show how the correlation between the components has affected their performance.

Keywords


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