A statistical dependent failure detection method for n-component parallel systems
Shuhei Ota and
Reliability Engineering and System Safety, 2017, vol. 167, issue C, 376-382
Making a system redundant by combining identical components is a useful way to ensure a highly reliable system. However, the components of such systems may fail mutually, and if the components break down dependently, the reliability of the system decreases. Therefore, reliability analysis considering the dependence among the components is important in reliability assessment. This research proposes a statistical detection method of the dependent failure occurrence in n-component parallel systems that utilizes the failure occurrence times of the components. If we assume that the lifetime distribution of the components worsens if k-out-of-n components failed, the dependent failure occurrence can be found by identifying the change of the distribution. The performance of the proposed method is demonstrated by simulation studies.
Keywords: Cascading failure; Parallel system; Dependent failure detection; Kâ€“S test (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:167:y:2017:i:c:p:376-382
Access Statistics for this article
Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares
More articles in Reliability Engineering and System Safety from Elsevier
Series data maintained by Dana Niculescu ().