Direct unavailability computation of a maintained highly reliable system
R Briš and
P Byczanski
Journal of Risk and Reliability, 2010, vol. 224, issue 3, 159-170
Abstract:
The paper presents a new analytical algorithm which is able to carry out exact reliability quantification of highly reliable systems with maintenance (both preventive and corrective). A directed acyclic graph is used as a system representation. The algorithm allows highly reliable and maintained input components to be taken into account. A new model of a repairable component undergoing hidden failures, i.e. a model when a failure is identified only at special deterministically assigned times, is analytically deduced within the paper. All considered models are implemented into the new algorithm. The algorithm is based on a special new procedure which permits only summarization between two or more non-negative numbers that can be very different. If the summarization of very small positive numbers transformed into the machine code is performed effectively, there is no error at the operation. Unavailability quantification is demonstrated on a test system from references and on its highly reliable modifications. Improvement of the reliability quantification by the new method in comparison to the simulation method is demonstrated on real reliability problem from practice, i.e. the decision-making problem related to reliability of the supply of electric power to consumers.
Keywords: high reliability; availability; exact computing; computer machine code; directed acyclic graph (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1243/1748006XJRR306 (text/html)
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:sae:risrel:v:224:y:2010:i:3:p:159-170
DOI: 10.1243/1748006XJRR306
Access Statistics for this article
More articles in Journal of Risk and Reliability
Bibliographic data for series maintained by SAGE Publications ().