 State-based mission abort policies for multistate systemsGregory Levitin, Maxim Finkelstein and Yuanshun Dai Reliability Engineering and System Safety, 2020, vol. 204, issue C Abstract: Most of the previous research on optimal mission abort policies was devoted to binary systems that can be only in two states, i.e., operable or failure. However, a wide class of engineering systems is characterized by more than one operable state. Thus, it can be reasonable to terminate a mission and initiate a rescue procedure that can save, e.g., costly or safety-critical systems when a system had deteriorated to a certain extent. A system operates in a random environment modeled by a renewal process of shocks. With each shock, the state of a system can deteriorate with certain probabilities that can eventually result in the total failure. The bivariate constrained probability-wise and cost-wise optimization problems are formulated and the necessary relationships for solving them are derived. The detailed illustrative numerical example is discussed. Keywords: Multi-state system; Mission success probability; System survival probability; Mission abort; Renewal process of shocks (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:204:y:2020:i:c:s0951832020306232 DOI: 10.1016/j.ress.2020.107122 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 |
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