 Heterogeneous redundancy optimization for multi-state series–parallel systems subject to common cause failuresChun-yang Li, Xun Chen, Xiao-shan Yi and Jun-yong Tao Reliability Engineering and System Safety, 2010, vol. 95, issue 3, 202-207 Abstract: Components will fail when loads (such as humidity, temperature, vibration, shock) are beyond the limits, which is a kind of common cause failures. In order to provide a desired level of reliability with minimum cost, the optimal model of multi-state series–parallel system subject to this kind of common cause failures is formulated. The universal generating function is adapted to analyze the reliability of multi-state system with mixing of components of different types, and genetic algorithm is used to solve the optimal model. A numerical example is illustrated to demonstrate the proposed method. The results show that common cause failures make the redundancy allocation strategy different. To provide the desired level of reliability with minimum cost, the mixture of components of different types is a very effective method. Keywords: Multi-state system; Common cause failures; Heterogeneous redundancy optimization; Universal generating function; Genetic algorithm (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:95:y:2010:i:3:p:202-207 DOI: 10.1016/j.ress.2009.09.011 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 |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.