可靠性(半导体)
计算机科学
可靠性工程
功能(生物学)
马尔可夫过程
光学(聚焦)
过程(计算)
国家(计算机科学)
马尔可夫链
可靠性理论
力矩(物理)
不确定度量化
简单(哲学)
数学优化
算法
数学
工程类
机器学习
故障率
哲学
量子力学
经典力学
进化生物学
功率(物理)
生物
统计
物理
光学
操作系统
认识论
标识
DOI:10.1109/srse56746.2022.10067693
摘要
Existing studies on epistemic uncertainty only focus on simple multi-state systems and do not research applications in balanced systems. Besides, the balance degree threshold needs to be considered in the modeling of performance-based balanced systems. In this paper, a reliability assessment method of performance-based balanced systems with common bus performance sharing is proposed considering epistemic uncertainty and balance degree threshold. Firstly, an algorithm is used to describe the rebalancing process, then the system reliability model is constructed according to the definition of the balanced system. Secondly, confidence in the state of the components at any given moment is given by a modified Markov model combined with the mass function. Then, the universal generating function (UGF) method is used to evaluate the uncertainty reliability of the system. Finally, the effectiveness of the proposed method is demonstrated through a case study and the influence of parameters on the system reliability is researched.
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