A Reliability Analysis Method for an Aircraft Power System with Hybrid Uncertainty and Failure Dependence

Yufei Song, Yukui Zhu, Xiang Cao, Min Yu, Jie Zhang
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Abstract

Because of the increasing complexity of modern electromechanical systems, it is important to develop a reliability analysis model for systems with hybrid uncertainty and failure dependence. In practice, engineers may not have enough information to estimate the correlation between components/subsystems, which is named as non-deterministic dependence problem. In order to model the impact of uncertainty and non-deterministic dependence on system performance, this paper proposed a reliability analysis method based on Bayesian network and affine arithmetic. The proposed method can be used to overcome the limitation of interval arithmetic and retains the advantages of Bayesian network in dealing with the problems of correlation and uncertainty. Finally, the proposed affine-based Bayesian network is applied to an aircraft power system.
具有不确定性和故障相关性的飞机动力系统可靠性分析方法
随着现代机电系统的日益复杂,建立具有不确定性和故障依赖的混合系统的可靠性分析模型显得尤为重要。在实践中,工程师可能没有足够的信息来估计组件/子系统之间的相关性,这被称为非确定性依赖问题。为了模拟不确定性和非确定性依赖对系统性能的影响,提出了一种基于贝叶斯网络和仿射算法的可靠性分析方法。该方法既克服了区间算法的局限性,又保留了贝叶斯网络处理相关性和不确定性问题的优点。最后,将所提出的仿射贝叶斯网络应用于某飞机动力系统。
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