Influence of component uncertainty on reliability assessment of systems with continuous states

Chi Zhang and Ali Mostashari

International Journal of Industrial and Systems Engineering, 2011, vol. 7, issue 4, 542-552

Abstract: Existing reliability evaluation methods are based on the availability of knowledge about component states. However, component states are often uncertain or unknown, especially during the early stages of the development of new systems. In such cases it is important to understand how uncertainties will affect system reliability assessment. Another shortcoming of existing methods is that they only consider systems whose components have discrete states. For those whose components have continuous states, these methods may not be applicable. Using Monte-Carlo simulation, this paper proposed a method to assess the reliability of systems with continuous distribution of component states. This method will also be useful when we do not have enough knowledge on component states and related probabilities. Comparison of two examples proves that component uncertainty has significant influence on the assessment of system reliability.

Keywords: reliability assessment; uncertainty; continuous states; Monte Carlo simulation; system reliability; reliability evaluation. (search for similar items in EconPapers)
Date: 2011
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.inderscience.com/link.php?id=39674 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:7:y:2011:i:4:p:542-552

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().