EconPapers    
Economics at your fingertips  
 

Mean time to failure of a k-out-of-n system with a single cold standby unit having dependent components

Achintya Roy and Nitin Gupta

Communications in Statistics - Theory and Methods, 2025, vol. 54, issue 15, 4925-4941

Abstract: In this article, we consider a k-out-of-n system which is equipped with a single cold standby component. We assume that the components within the k-out-of-n system are exchangeable. The standby component becomes active when the k-out-of-n system experiences a failure. The active cold standby component reboots the system in collaboration with the remaining original active components. The dependency between the residual lifetimes of the survival components and the cold standby component is assumed to be modeled by a copula function C*, while the dependency between the original components of the k-out-of-n system is assumed to be modeled by a symmetric copula function C. Initially, we derive the common cumulative distribution function of the survival components of the k-out-of-n system at the time of the failure of the k-out-of-n system. After that, we compute the mean time to failure of the considered system. We analyze how various dependence parameters among the components impact the system’s reliability.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2024.2430741 (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:taf:lstaxx:v:54:y:2025:i:15:p:4925-4941

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2024.2430741

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-07-02
Handle: RePEc:taf:lstaxx:v:54:y:2025:i:15:p:4925-4941