Abstract
The paper considers heterogeneous 1-out-of-N warm standby systems when all components can experience internal failures and operating components are exposed to external shocks. The components’ resilience to shocks decreases with the number of experienced shocks. A preventive replacement policy when the operating component is replaced after it survives a certain number of shocks is considered. A numerical algorithm for evaluating the expected mission costs and the mission success probability is suggested. An optimization problem for a replacement policy that minimizes the expected mission cost providing a desired level of a mission success probability is formulated and solved. Illustrative examples are provided.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
