인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
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지원사업
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커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Purpose: This paper explores the discrete-time lifetime of circular κ-out-of-n: G balanced (CknGB) systems, inspired by multi-rotor UAV/UAM systems operating in shock environments. Specifically, the paper investigates the number of external shocks a system can endure before failure.
Methods: The reliability and discrete-time lifetime of CknGB systems are defined using balance conditions, minimum tie-sets, and discrete-time Markov chains. The matrix-analytic method is then employed to derive the analytical form of the discrete-time system lifetime distribution.
Results: The discrete-time system lifetime distribution is characterized as a discrete-time phase-type distribution (PH<SUB>d</SUB>) with a specific parameter set. Extensive numerical analysis is performed to examine the shape of the probability mass function in relation to various system parameters, such as κ, n, and r(unit reliability).
Conclusion: The findings of this study can be extended to continuous-time system lifetimes. Future research directions include reliability prediction, maintenance optimization, and economic design for various systems, including multi-rotor UAV/UAM systems.
Methods: The reliability and discrete-time lifetime of CknGB systems are defined using balance conditions, minimum tie-sets, and discrete-time Markov chains. The matrix-analytic method is then employed to derive the analytical form of the discrete-time system lifetime distribution.
Results: The discrete-time system lifetime distribution is characterized as a discrete-time phase-type distribution (PH<SUB>d</SUB>) with a specific parameter set. Extensive numerical analysis is performed to examine the shape of the probability mass function in relation to various system parameters, such as κ, n, and r(unit reliability).
Conclusion: The findings of this study can be extended to continuous-time system lifetimes. Future research directions include reliability prediction, maintenance optimization, and economic design for various systems, including multi-rotor UAV/UAM systems.
본문·목차
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